Automated Prediction of Preferences Using Facial Expressions
•
1 like•857 views
In this presentation the authors (David Masip, Michael S. North, Alexander Todorov, Daniel N. Osherson) introduce a computer vision problem from social cognition, namely, the automated detection of attitudes from a person’s spontaneous facial expressions. To illustrate the challenges, they introduce two simple algorithms designed to predict observers’ preferences between images (eg, of celebrities) based on covert videos of the observers’ faces. The two algorithms are almost as accurate as human judges performing the same task but nonetheless far from perfect.
Report
Share
Report
Share
Download to read offline
Recommended
Emotion recognition using facial expressions and speech
This document discusses non-intrusive methods for recognizing a driver's emotions using vision and acoustic sensing in an advanced driver assistance system. It describes how emotions can impact driver attentiveness and safety. Six primary emotions are identified: anger, disgust, fear, happiness, sadness, and surprise. Various techniques are discussed for extracting visual features from face images and acoustic features from speech to classify emotions, along with their advantages and limitations. Prior work on emotion recognition from speech using Hidden Markov Models, spectral features, and other approaches is also summarized.
Facial emotion recognition
Facial emotion recognition uses active shape modeling to identify 5 classes of emotions from facial images. It reconstructs facial models by labeling landmark features, performing shape modeling through principal component analysis and model fitting, and classifying emotions. The methodology was tested on a set of labeled images and achieved over 80% accuracy in emotion recognition according to the results.
EDU643 Educational Apps
Introduction to 11 educational apps useful for the elementary classroom (ages 8-11).
Erin Tullos
Belhaven University
Games Design 2 - Lecture 9 - User Evaluation
There are two main approaches to end-user evaluation of games: asking players questions and observing players as they play. Asking questions can be done through open-ended or closed-ended questionnaires. Open-ended questions provide more detailed feedback but are harder to analyze, while closed-ended questions directly provide quantifiable data but a narrower range of responses. Observation of playtests provides meaningful data from a small number of users and allows designers to see usability issues firsthand. Feedback is then used to iteratively modify and improve the game design.
Face Detection Using MATLAB (SUD)
This Presentation is for project work which will work on the "FACE DETECTION USING MATLAB".
This presentation will be prepared on the practical basis instead of theoretical knowledge. So result may vary on the basis of your practical work.
This Presentation is of standard format which is also beneficial for the engineering student for project work.
Serious games cwltgm
This document discusses using a cognitive walkthrough approach to evaluate game-based learning designs. It provides context on learning theories including constructivism and outlines the cognitive walkthrough method. It then proposes a way to contextualize and extend the cognitive walkthrough specifically for game-based learning (CWLTGM). The method involves analyzing each logical step or connection a player must make to learn through playing and identifying if the connection is reasonable to expect. This allows designers to identify flaws before implementation. The document concludes by discussing next steps of applying CWLTGM to evaluate a part of the CareerQuest game in an upcoming lab session.
Serious games career quest
The document discusses a career-focused game designed to raise awareness of employability skills in students. It describes the learning goals and experimental design, which varied levels of autonomy, competence, and relatedness support between player groups based on self-determination theory. Early findings from gameplay data showed mixed results and no clear influence of the design variations on engagement or knowledge/attitude changes as hypothesized. A focus group will further examine player perceptions of autonomy, competence, and relatedness support in the game and how mechanics influenced these factors.
Step-By-Step Guide to Creating Assessments
This document provides instructions for teachers at Shoemaker High School on creating assessments, printing answer documents, scanning completed assessments, and analyzing assessment data using the Eduphoria Aware and Electronic Test Item Bank software. Key steps include selecting standards and questions from the item bank, printing tests and answer keys, having students complete printed assessments, and scanning completed assessments into the software for analysis.
Recommended
Emotion recognition using facial expressions and speech
This document discusses non-intrusive methods for recognizing a driver's emotions using vision and acoustic sensing in an advanced driver assistance system. It describes how emotions can impact driver attentiveness and safety. Six primary emotions are identified: anger, disgust, fear, happiness, sadness, and surprise. Various techniques are discussed for extracting visual features from face images and acoustic features from speech to classify emotions, along with their advantages and limitations. Prior work on emotion recognition from speech using Hidden Markov Models, spectral features, and other approaches is also summarized.
Facial emotion recognition
Facial emotion recognition uses active shape modeling to identify 5 classes of emotions from facial images. It reconstructs facial models by labeling landmark features, performing shape modeling through principal component analysis and model fitting, and classifying emotions. The methodology was tested on a set of labeled images and achieved over 80% accuracy in emotion recognition according to the results.
EDU643 Educational Apps
Introduction to 11 educational apps useful for the elementary classroom (ages 8-11).
Erin Tullos
Belhaven University
Games Design 2 - Lecture 9 - User Evaluation
There are two main approaches to end-user evaluation of games: asking players questions and observing players as they play. Asking questions can be done through open-ended or closed-ended questionnaires. Open-ended questions provide more detailed feedback but are harder to analyze, while closed-ended questions directly provide quantifiable data but a narrower range of responses. Observation of playtests provides meaningful data from a small number of users and allows designers to see usability issues firsthand. Feedback is then used to iteratively modify and improve the game design.
Face Detection Using MATLAB (SUD)
This Presentation is for project work which will work on the "FACE DETECTION USING MATLAB".
This presentation will be prepared on the practical basis instead of theoretical knowledge. So result may vary on the basis of your practical work.
This Presentation is of standard format which is also beneficial for the engineering student for project work.
Serious games cwltgm
This document discusses using a cognitive walkthrough approach to evaluate game-based learning designs. It provides context on learning theories including constructivism and outlines the cognitive walkthrough method. It then proposes a way to contextualize and extend the cognitive walkthrough specifically for game-based learning (CWLTGM). The method involves analyzing each logical step or connection a player must make to learn through playing and identifying if the connection is reasonable to expect. This allows designers to identify flaws before implementation. The document concludes by discussing next steps of applying CWLTGM to evaluate a part of the CareerQuest game in an upcoming lab session.
Serious games career quest
The document discusses a career-focused game designed to raise awareness of employability skills in students. It describes the learning goals and experimental design, which varied levels of autonomy, competence, and relatedness support between player groups based on self-determination theory. Early findings from gameplay data showed mixed results and no clear influence of the design variations on engagement or knowledge/attitude changes as hypothesized. A focus group will further examine player perceptions of autonomy, competence, and relatedness support in the game and how mechanics influenced these factors.
Step-By-Step Guide to Creating Assessments
This document provides instructions for teachers at Shoemaker High School on creating assessments, printing answer documents, scanning completed assessments, and analyzing assessment data using the Eduphoria Aware and Electronic Test Item Bank software. Key steps include selecting standards and questions from the item bank, printing tests and answer keys, having students complete printed assessments, and scanning completed assessments into the software for analysis.
Review of methods and techniques on Mind Reading Computer Machine
The document discusses research into developing computer systems that can read human minds. It describes how researchers are using sensors and cameras to analyze facial expressions and brain activity in order to infer mental states like emotions, thoughts, and level of engagement. The document outlines some techniques being used, like analyzing electroencephalography and functional near-infrared spectroscopy brain scan data or facial feature extraction from video feeds. Potential applications mentioned include assistive technologies for people with disabilities and monitoring driver attention and mood.
Final Year Project - Enhancing Virtual Learning through Emotional Agents (Doc...
This document discusses approaches for face and emotion detection in virtual learning environments. It begins by explaining that face and emotion detection can improve human-computer interaction for virtual learning. It then discusses the need for face detection to improve efficiency of face recognition systems. Next, it describes how emotion detection is important for understanding human communication and states of mind. The document proceeds to explain existing approaches for face detection, including feature-based methods using texture and skin color, template matching methods, and appearance-based methods. It also outlines existing approaches for emotion detection using genetic algorithms, neural networks, and feature point extraction. Template matching is discussed as a technique for both face and emotion detection.
Image processing
This document describes a real-time facial expression recognition system that can handle low-resolution images and full head motion in real-world environments. The system uses background subtraction, head detection and pose estimation to analyze faces. It extracts location features like eye and mouth positions and shape features of the mouth region. A neural network then recognizes expressions like smile, anger and surprise from the features. The system aims to automatically recognize expressions in challenging real-world conditions like those in meetings, addressing limitations of prior systems.
Facial expression using 3 d animation
The document discusses facial expression analysis using 3D modeling and animation. It describes capturing motion capture data from human subjects displaying a range of expressions and emotions. Feature points from the motion capture data are selected and mapped to 3D facial models. The models can then be animated by moving the feature points and their surrounding regions based on the motion capture data. Tools like the Facial Action Coding System and 3D databases of facial expressions are also discussed for studying facial musculature and expressions.
Facial expression using 3 d animation
This document discusses facial expression analysis using 3D animation. It begins by introducing facial expression and how it is traditionally studied using 2D images or video. It then discusses developing a system to generate facial animation of any 3D model given speech or text input. Key steps include capturing motion capture data, selecting feature points, and animating the model by moving points and their neighbors. Tools for studying facial expressions like the Facial Action Coding System are also introduced. Finally, a 3D facial expression database containing 2500 models of 100 subjects performing different expressions is described.
Facial expression using 3 d animation
This document discusses facial expression analysis using 3D animation. It begins by introducing facial expression and the challenges of 2D analysis. It then discusses developing a system to generate facial animation from novel text or speech input using motion capture data. Tools for studying facial expression like the Facial Action Coding System and a 3D expression database are also introduced. The document concludes that expressions can be represented numerically and measured to understand correlations with basic expressions.
Facial expression using 3 d animation
This document discusses facial expression analysis using 3D animation. It begins by introducing facial expression and how it is traditionally studied using 2D images or video. It then discusses developing a system to generate facial animation of any 3D model given speech or text input. Key steps include capturing motion capture data, selecting feature points, and animating the model by moving points and their neighbors. Tools for studying facial expressions like the Facial Action Coding System are also introduced. Finally, a 3D facial expression database containing 2500 3D models of facial expressions is described.
1 facial expression 9 (1)
The document discusses facial expression analysis using 3D animation. It describes capturing facial motion data using markers, selecting feature points on the human face and 3D model, then animating the model by moving the feature points and their neighboring vertices based on the motion data. Tools for studying facial expressions like the Facial Action Coding System and 3D databases with thousands of expression models from different subjects are also summarized. The goal is to generate realistic facial animations from text or speech by understanding the underlying muscle movements that create expressions.
Final_Facial_Emotion_Detection_ppt.pdf
This document presents a methodology for facial emotion recognition using image processing techniques. The proposed method involves capturing an image, converting it to grayscale, cropping regions of interest around facial features, applying edge detection, and classifying the emotion based on differences in edge positions compared to templates. The method was tested on 60 images with an overall accuracy of 83.33% for identifying happy, angry, and null expressions. Areas for future work include automating the region of interest extraction and simplifying the edge detection process.
430634527-Final-Facial-Emotion-Detection-ppt-pdf.pdf
This document presents a methodology for facial emotion recognition. It involves capturing an image, preprocessing by converting to grayscale and cropping regions of interest around facial features. Edge detection is then performed on the regions of interest. Emotions are classified by calculating displacement of edge points, averaging values, standard deviation, and comparing to a threshold. The methodology achieved 83.33% accuracy in classifying six basic emotions from facial images. Future work could improve the automated cropping of regions of interest and simplify the edge detection process.
Face expression recognition using Scaled-conjugate gradient Back-Propagation ...
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Real time facial expression analysis using pca
This document presents a method for real-time facial expression analysis using principal component analysis (PCA). The method involves detecting faces, extracting expression features from the eye and mouth regions, applying PCA to extract texture features, and using a support vector machine classifier to classify expressions. The proposed approach was tested on a database of facial images with expressions categorized as happy, angry, disgust, sad, or neutral. PCA was used to select the most relevant eigenfaces and reduce the dimensionality of the feature space for more efficient classification of expressions in real-time.
Emotion Recognition using Image Processing
Emotion plays an important role in daily life of human being. The need and importance of automatic emotion recognition has grown with increasing role of human computer interaction applications. All emotion is derived from the presence of stimulus in body which evoke the physiological response. Yash Bardhan | Tejas A. Fulzele | Prabhat Ranjan | Shekhar Upadhyay | Prof. V.D. Bharate"Emotion Recognition using Image Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd10995.pdf http://www.ijtsrd.com/engineering/telecommunications/10995/emotion-recognition-using-image-processing/yash-bardhan
Face and Eye Detection Varying Scenarios With Haar Classifier_2015
The document presents a face and eye detection system. It discusses challenges in face detection like image quality, pose variation, and facial expressions. It describes the history of face detection and various methods like knowledge-based, feature-invariant, template matching, and appearance-based. The methodology section explains the Viola-Jones algorithm using Haar-like features, integral images, AdaBoost, and cascade classifiers. The implementation uses OpenCV for detection. Experiments showed high detection rates for single faces but lower rates for group faces and detecting eyes with pose variations. Future work involves improving classifiers and detecting side faces in real-time.
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
photo detection in personal photo collection
This document discusses methods for person recognition in personal photo collections. It describes four main face detection methods: knowledge-based, feature-based, appearance-based, and template matching. Appearance-based methods rely on machine learning algorithms trained on large datasets of face images. The document also discusses challenges with person recognition from diverse poses and attributes. It introduces the PIPA dataset for evaluating person recognition algorithms and describes using multiple cues like face, body, attributes, and scene context to improve recognition.
Criminal Detection System
CDS is the criminal face identification by capsule neural network.
Solving the common problems in image recognition such as illumination problem, scale variability, and to fight against a most common problem like pose problem, we are introducing Face Reconstruction System.
Emotion intelligence
This document discusses computer vision and emotion detection. It explains that computer vision aims to model and exceed human vision using computational methods. Emotion intelligence is the ability to recognize, understand, and manage emotions. Emotion detection teaches computers to identify emotions in humans using egocentric video analysis and facial feature extraction and recognition algorithms. Key steps involve gathering first-person video data, detecting faces, extracting features, training models, and testing the computer's ability to classify emotions. Applications include improved human-computer interaction, security, education, healthcare, and marketing.
Two Level Decision for Recognition of Human Facial Expressions using Neural N...
Facial Expressions of the human being is the one which is the outcome of the inner feelings of the mind. It is the person’s internal emotional states and intentions.A person’s face provides a lot of information such as age, gender, identity, mood, expressions and so on. Faces play an important role in the recognition of the expressions of persons. In this research, an attempt is made to design a model to classify human facial expressions according to the features extracted f0rom human facial images by applying 3 Sigma limits inSecond level decision using Neural Network (NN). Now a days, Artificial Neural Network (ANN) has been widely used as a tool for solving many decision modeling problems. In this paper a feed forward propagation Neural networks are constructed for expression classification system for gray-scale facial images. Three groups of expressions including Happy, Sad and Anger are used in the classification system. In this paper, a Second level decision has been proposed in which the output obtained from the Neural Network(Primary Level) has been refined at the Second level in order to improvise the accuracy of the recognition rate. The accuracy of the system is analyzed by the variation on the range of the expression groups. The efficiency of the system is demonstrated through the experimental results.
“Global Trends and Patterns of Violent Extremism: Finding New Responses”
“Global Trends and Patterns of Violent Extremism: Finding New Responses”UOC Universitat Oberta de Catalunya
The document summarizes a webinar titled "Global Trends and Patterns of Violent Extremism: Finding New Responses" presented by Luca Gervasoni and Maria-Antònia Guardiola from the Universitat Oberta de Catalunya on June 15, 2016. The webinar covered definitions of extremism, radicalization, and terrorism; data on the impact and deaths from terrorism from 2000-2014 globally and in specific regions like Iraq and Nigeria; drivers of political terror and ongoing conflicts; responses to terrorism and their economic costs; and proposals for new prevention strategies focusing on countering propaganda, addressing radicalization in prisons, promoting inclusive education, and strengthening international cooperation.More Related Content
Similar to Automated Prediction of Preferences Using Facial Expressions
Review of methods and techniques on Mind Reading Computer Machine
The document discusses research into developing computer systems that can read human minds. It describes how researchers are using sensors and cameras to analyze facial expressions and brain activity in order to infer mental states like emotions, thoughts, and level of engagement. The document outlines some techniques being used, like analyzing electroencephalography and functional near-infrared spectroscopy brain scan data or facial feature extraction from video feeds. Potential applications mentioned include assistive technologies for people with disabilities and monitoring driver attention and mood.
Final Year Project - Enhancing Virtual Learning through Emotional Agents (Doc...
This document discusses approaches for face and emotion detection in virtual learning environments. It begins by explaining that face and emotion detection can improve human-computer interaction for virtual learning. It then discusses the need for face detection to improve efficiency of face recognition systems. Next, it describes how emotion detection is important for understanding human communication and states of mind. The document proceeds to explain existing approaches for face detection, including feature-based methods using texture and skin color, template matching methods, and appearance-based methods. It also outlines existing approaches for emotion detection using genetic algorithms, neural networks, and feature point extraction. Template matching is discussed as a technique for both face and emotion detection.
Image processing
This document describes a real-time facial expression recognition system that can handle low-resolution images and full head motion in real-world environments. The system uses background subtraction, head detection and pose estimation to analyze faces. It extracts location features like eye and mouth positions and shape features of the mouth region. A neural network then recognizes expressions like smile, anger and surprise from the features. The system aims to automatically recognize expressions in challenging real-world conditions like those in meetings, addressing limitations of prior systems.
Facial expression using 3 d animation
The document discusses facial expression analysis using 3D modeling and animation. It describes capturing motion capture data from human subjects displaying a range of expressions and emotions. Feature points from the motion capture data are selected and mapped to 3D facial models. The models can then be animated by moving the feature points and their surrounding regions based on the motion capture data. Tools like the Facial Action Coding System and 3D databases of facial expressions are also discussed for studying facial musculature and expressions.
Facial expression using 3 d animation
This document discusses facial expression analysis using 3D animation. It begins by introducing facial expression and how it is traditionally studied using 2D images or video. It then discusses developing a system to generate facial animation of any 3D model given speech or text input. Key steps include capturing motion capture data, selecting feature points, and animating the model by moving points and their neighbors. Tools for studying facial expressions like the Facial Action Coding System are also introduced. Finally, a 3D facial expression database containing 2500 models of 100 subjects performing different expressions is described.
Facial expression using 3 d animation
This document discusses facial expression analysis using 3D animation. It begins by introducing facial expression and the challenges of 2D analysis. It then discusses developing a system to generate facial animation from novel text or speech input using motion capture data. Tools for studying facial expression like the Facial Action Coding System and a 3D expression database are also introduced. The document concludes that expressions can be represented numerically and measured to understand correlations with basic expressions.
Facial expression using 3 d animation
This document discusses facial expression analysis using 3D animation. It begins by introducing facial expression and how it is traditionally studied using 2D images or video. It then discusses developing a system to generate facial animation of any 3D model given speech or text input. Key steps include capturing motion capture data, selecting feature points, and animating the model by moving points and their neighbors. Tools for studying facial expressions like the Facial Action Coding System are also introduced. Finally, a 3D facial expression database containing 2500 3D models of facial expressions is described.
1 facial expression 9 (1)
The document discusses facial expression analysis using 3D animation. It describes capturing facial motion data using markers, selecting feature points on the human face and 3D model, then animating the model by moving the feature points and their neighboring vertices based on the motion data. Tools for studying facial expressions like the Facial Action Coding System and 3D databases with thousands of expression models from different subjects are also summarized. The goal is to generate realistic facial animations from text or speech by understanding the underlying muscle movements that create expressions.
Final_Facial_Emotion_Detection_ppt.pdf
This document presents a methodology for facial emotion recognition using image processing techniques. The proposed method involves capturing an image, converting it to grayscale, cropping regions of interest around facial features, applying edge detection, and classifying the emotion based on differences in edge positions compared to templates. The method was tested on 60 images with an overall accuracy of 83.33% for identifying happy, angry, and null expressions. Areas for future work include automating the region of interest extraction and simplifying the edge detection process.
430634527-Final-Facial-Emotion-Detection-ppt-pdf.pdf
This document presents a methodology for facial emotion recognition. It involves capturing an image, preprocessing by converting to grayscale and cropping regions of interest around facial features. Edge detection is then performed on the regions of interest. Emotions are classified by calculating displacement of edge points, averaging values, standard deviation, and comparing to a threshold. The methodology achieved 83.33% accuracy in classifying six basic emotions from facial images. Future work could improve the automated cropping of regions of interest and simplify the edge detection process.
Face expression recognition using Scaled-conjugate gradient Back-Propagation ...
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Real time facial expression analysis using pca
This document presents a method for real-time facial expression analysis using principal component analysis (PCA). The method involves detecting faces, extracting expression features from the eye and mouth regions, applying PCA to extract texture features, and using a support vector machine classifier to classify expressions. The proposed approach was tested on a database of facial images with expressions categorized as happy, angry, disgust, sad, or neutral. PCA was used to select the most relevant eigenfaces and reduce the dimensionality of the feature space for more efficient classification of expressions in real-time.
Emotion Recognition using Image Processing
Emotion plays an important role in daily life of human being. The need and importance of automatic emotion recognition has grown with increasing role of human computer interaction applications. All emotion is derived from the presence of stimulus in body which evoke the physiological response. Yash Bardhan | Tejas A. Fulzele | Prabhat Ranjan | Shekhar Upadhyay | Prof. V.D. Bharate"Emotion Recognition using Image Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd10995.pdf http://www.ijtsrd.com/engineering/telecommunications/10995/emotion-recognition-using-image-processing/yash-bardhan
Face and Eye Detection Varying Scenarios With Haar Classifier_2015
The document presents a face and eye detection system. It discusses challenges in face detection like image quality, pose variation, and facial expressions. It describes the history of face detection and various methods like knowledge-based, feature-invariant, template matching, and appearance-based. The methodology section explains the Viola-Jones algorithm using Haar-like features, integral images, AdaBoost, and cascade classifiers. The implementation uses OpenCV for detection. Experiments showed high detection rates for single faces but lower rates for group faces and detecting eyes with pose variations. Future work involves improving classifiers and detecting side faces in real-time.
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
photo detection in personal photo collection
This document discusses methods for person recognition in personal photo collections. It describes four main face detection methods: knowledge-based, feature-based, appearance-based, and template matching. Appearance-based methods rely on machine learning algorithms trained on large datasets of face images. The document also discusses challenges with person recognition from diverse poses and attributes. It introduces the PIPA dataset for evaluating person recognition algorithms and describes using multiple cues like face, body, attributes, and scene context to improve recognition.
Criminal Detection System
CDS is the criminal face identification by capsule neural network.
Solving the common problems in image recognition such as illumination problem, scale variability, and to fight against a most common problem like pose problem, we are introducing Face Reconstruction System.
Emotion intelligence
This document discusses computer vision and emotion detection. It explains that computer vision aims to model and exceed human vision using computational methods. Emotion intelligence is the ability to recognize, understand, and manage emotions. Emotion detection teaches computers to identify emotions in humans using egocentric video analysis and facial feature extraction and recognition algorithms. Key steps involve gathering first-person video data, detecting faces, extracting features, training models, and testing the computer's ability to classify emotions. Applications include improved human-computer interaction, security, education, healthcare, and marketing.
Two Level Decision for Recognition of Human Facial Expressions using Neural N...
Facial Expressions of the human being is the one which is the outcome of the inner feelings of the mind. It is the person’s internal emotional states and intentions.A person’s face provides a lot of information such as age, gender, identity, mood, expressions and so on. Faces play an important role in the recognition of the expressions of persons. In this research, an attempt is made to design a model to classify human facial expressions according to the features extracted f0rom human facial images by applying 3 Sigma limits inSecond level decision using Neural Network (NN). Now a days, Artificial Neural Network (ANN) has been widely used as a tool for solving many decision modeling problems. In this paper a feed forward propagation Neural networks are constructed for expression classification system for gray-scale facial images. Three groups of expressions including Happy, Sad and Anger are used in the classification system. In this paper, a Second level decision has been proposed in which the output obtained from the Neural Network(Primary Level) has been refined at the Second level in order to improvise the accuracy of the recognition rate. The accuracy of the system is analyzed by the variation on the range of the expression groups. The efficiency of the system is demonstrated through the experimental results.
Similar to Automated Prediction of Preferences Using Facial Expressions (20)
Review of methods and techniques on Mind Reading Computer Machine
Review of methods and techniques on Mind Reading Computer Machine
Final Year Project - Enhancing Virtual Learning through Emotional Agents (Doc...
Final Year Project - Enhancing Virtual Learning through Emotional Agents (Doc...
430634527-Final-Facial-Emotion-Detection-ppt-pdf.pdf
430634527-Final-Facial-Emotion-Detection-ppt-pdf.pdf
Face expression recognition using Scaled-conjugate gradient Back-Propagation ...
Face expression recognition using Scaled-conjugate gradient Back-Propagation ...
Face and Eye Detection Varying Scenarios With Haar Classifier_2015
Face and Eye Detection Varying Scenarios With Haar Classifier_2015
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science
Two Level Decision for Recognition of Human Facial Expressions using Neural N...
Two Level Decision for Recognition of Human Facial Expressions using Neural N...
More from UOC Universitat Oberta de Catalunya
“Global Trends and Patterns of Violent Extremism: Finding New Responses”
“Global Trends and Patterns of Violent Extremism: Finding New Responses”UOC Universitat Oberta de Catalunya
The document summarizes a webinar titled "Global Trends and Patterns of Violent Extremism: Finding New Responses" presented by Luca Gervasoni and Maria-Antònia Guardiola from the Universitat Oberta de Catalunya on June 15, 2016. The webinar covered definitions of extremism, radicalization, and terrorism; data on the impact and deaths from terrorism from 2000-2014 globally and in specific regions like Iraq and Nigeria; drivers of political terror and ongoing conflicts; responses to terrorism and their economic costs; and proposals for new prevention strategies focusing on countering propaganda, addressing radicalization in prisons, promoting inclusive education, and strengthening international cooperation.Mobile ensembles: The uses of mobile phones for social protest by Spain’s ind...
Mobile ensembles: The uses of mobile phones for social protest by Spain’s ind...UOC Universitat Oberta de Catalunya
During the 2011 wave of protests, millions of citizens around the globe employed a vast
range of digital media to demand greater democratic freedoms and social justice. Although
mobile phones were widely used in all these protests, their significance remains unclear.
This presentation draws from both qualitative and quantitative research to shed light on the recent uses of mobile technologies for social protest, with Spain’s Indignados (or 15M) movement as the case study. The authors (Arnau Monterde and John Postill) argue for the importance of processual analyses of the new protests that situate the uniqueness of each mobile technology and “mobile ensemble” within a particular moment in the collective biography of a movement. This approach reveals the importance of smartphones as new articulators of online spaces and occupied physical spaces, especially via Twitter and live streaming.El principio de integridad en la contratación pública. Mecanismos para la pre...
El principio de integridad en la contratación pública. Mecanismos para la pre...UOC Universitat Oberta de Catalunya
Integrity aims to ensure that the actions of public officials and employees are consistent
with the law in order to prevent conflicts of interest and corruption. Conflicts of interest can lead to favouritism, abuse of power, discrimination, a lack of impartiality and objectivity, and, ultimately, corruption. Integrity facilitates appropriate management of the various interests at stake and, thus, prevents conflicts of interest that could lead to corruption in public procurement.
In this presentation Agustí Cerrillo examines the mechanisms that ensure integrity in public procurement through transparency, good management, prevention of conflicts of interest and control and accountability mechanisms. It also explores how these mechanisms are reflected in the Spanish legal framework.
It also analyses different measures to guarantee integrity included in the several
plans of democratic regeneration passed by Spanish public administration. It also studies the Act 19/2013, of 3 December, on transparency, access to public sector information and good governance and Directive 2014/24/EU of the European Parliament and of the Council of 26 February 2014 on public procurement.Smart contradictions: The politics of making Barcelona a Self-sufficient city
Smart contradictions: The politics of making Barcelona a Self-sufficient cityUOC Universitat Oberta de Catalunya
In recent years, the Smart City has become a very popular concept amongst policymakers
and urban planners. However, at the same time as new urban Smart interventions are being designed and applied, insufficient attention has been paid to how these strategies are inserted into the wider political economy and, in particular, the political ecology of urban transformation.
Therefore, in this presentation the authors (Hug March and Ramon Ribera-Fumaz) critically explore the implementation of the Smart City, tracing how the “environment” and environmental concerns have become an organising principle in Barcelona’s Smart City strategy. Through an urban political ecology prism they aim to critically reflect upon the contradictions of the currently existing Smart City in Barcelona and
how Smart discourses and practices might be intentionally or unintentionally mobilised in
ways that serve to depoliticise urban redevelopment and environmental management. The
presentation stresses the need to repoliticize the debates on the Smart City and put citizens back at the centre of the urban debate.Gender Stereotypes and Attitudes Towards Information and Communication Techno...
Gender Stereotypes and Attitudes Towards Information and Communication Techno...UOC Universitat Oberta de Catalunya
In this presentation the authors (Milagros Sáinz, Julio Meneses, Beatriz-Soledad López and Sergi Fàbregues) examine young people’s gender-stereotyped beliefs and attitudes about people working in ICT. Nine hundred students from Catalonia (51% girls) enrolled in the last course of junior secondary education (mean of age=15 years old; S.D.=1.73) participated. As expected, the boys and girls held several stereotypical beliefs about ICT professionals. , These stereotypical beliefs described a masculine portrayal of ICT workers. Contrary to expectations, most of the students’ portrayals of people working in ICT were either positive or neutral, not negative. Likewise, and contrary to predictions, young males did not show more positive attitudes towards ICT professionals than girls. No gender differences were observed in the type of characteristics associated with ICT professionals. However, young females were more likely to offer feminine references about professions where ICT is the tool rather than the object of their work.Co-creation and Participation as a Means of Innovation in New Media: An Analy...
Co-creation and Participation as a Means of Innovation in New Media: An Analy...UOC Universitat Oberta de Catalunya
This presentation endeavours to shed some light on the notion of co-creation in the global context of new media user participation and its relationship with innovation. A non-directed case study focused on digital photography is presented, enabling an analysis of co-creation through the lens of the theories of creativity. Consequently, through connecting creativity with this fieldwork, the authors (Gemma San Cornelio and Edgar Gómez Cruz) suggest that the transformation of a cultural field by means of co-creation can lead to innovations that affect the entire field.The end of scarcity? Water desalination as the new cornucopia for Mediterrane...
The end of scarcity? Water desalination as the new cornucopia for Mediterrane...UOC Universitat Oberta de Catalunya
In this presentation the authors (Hug March, David Suarí, David Suarí) explore the shift towards desalination as an alternative to other water supply options such as river regulation or inter-basin water transfers. Desalination has been seen as the cure for everything that dams and inter-basin water transfers
were unable to solve, including droughts, scarcities, social conflicts, environmental impacts, and political rivalries among the different Spanish regions. Desalination also means a new and powerful element in water planning and management that could provide water for the continuous expansion of the urban and tourism growth machine in Mediterranean Spain and thus relax possible water constraints on this growth. However, by 2012 most new desalination plants along the Mediterranean coast remained almost idle. Focusing on the case of the Mancomunidad de los Canales del Taibillla in south-eastern Spain, the authors objective is to develop a critical, integrated and reflexive perspective on the use of desalination as a source of water for urban and regional growth.Urban Ecology Under Fire: Water Supply in Madrid During the Spanish Civil War...
Urban Ecology Under Fire: Water Supply in Madrid During the Spanish Civil War...UOC Universitat Oberta de Catalunya
This paper investigates the critical role of workers to enhance the resilience of water supply
services in cities at war through analyzing the case of Madrid and the Madrid water company
Canales del Lozoya during the Spanish Civil War (1936–1939). The authors (Santiago Gorostiza, Hug March and David Saurí) argue that securing the protection of vital urban flows mediated through infrastructures is a key objective of cities under attack. They illustrate how ordinary knowledge of the urban geography
of water flows may have important repercussions for the war effort itself.Little arrangements that matter. Rethinking autonomy-enabling innovations for...
Little arrangements that matter. Rethinking autonomy-enabling innovations for...UOC Universitat Oberta de Catalunya
This presentation explores the variety of socio-material arrangements that enable older people to continue living independently. Drawing on a collection of ethnographic observations and interviews with telecare users the author (Daniel López) conducted at their homes in 2004 and 2008, he analyses in detail how the process of adopting the service makes visible and puts to the test certain arrangements that already exist, providing room for their modification and the creation of new ones. Rather than replacing existing arrangements with new solutions, I suggest maintenance infrastructures be devised to support the bounded and inalienable undertaking of caring for these arrangements which configure our autonomous, yet ageing lives.La construcción colaborativa de proyectos como metodología para adquirir comp...
La construcción colaborativa de proyectos como metodología para adquirir comp...UOC Universitat Oberta de Catalunya
This study analyses students’ perceptions of how the collaborative construction of a project online facilitates the acquisition of digital competences. The authors (María Pérez-Mateo, Marc Romero and Teresa Romeu) examine the methodological approach, within the context of the Universitat Oberta de Catalunya (Open University of Catalonia, UOC), of the subject: ICT Competences. This subject is conducted fully online at the UOC, and learners are required to engage in a collaborative project organized in 4 phases: Starting, Structuring, Developing, Concluding. Based on an evaluation research approach, quantitative and qualitative data from a survey have been triangulated. The conclusions
reinforce the importance of Computer Supported Collaborative Learning (CSCL) processes,
the need to put forward pedagogical proposals for the acquisition of both digital and collaborative
competences and the relevant role of the teacher in this process.What leads people to keep on e-learning? An empirical analysis of users’ expe...
What leads people to keep on e-learning? An empirical analysis of users’ expe...UOC Universitat Oberta de Catalunya
User retention is a major goal for higher education institutions running their teaching and
learning programmes online. This is the first investigation into how the senses of presence
and flow, together with perceptions about two central elements of the virtual education environment (didactic resource quality and instructor attitude), facilitate the user’s intention to continue e-learning. The authors (Inma Rodriguez-Ardura and Antoni Meseguer-Artola) use data collected from a large sample survey of current users in a pure e-learning environment along with objective data about their performance. The presentation offers practical suggestions for institutions and instructors who aim to provide effective e-learning experiences.Rethinking dropout in online higher education: The case of the Universitat Ob...
Rethinking dropout in online higher education: The case of the Universitat Ob...UOC Universitat Oberta de Catalunya
In recent years, several studies have been carried out into the reasons why students drop out of online higher education. However, more effort has gone into analyzing the causes of this phenomenon than into trying to characterize students who drop out, that is defining what a dropout is.
As one of the
main findings of this article, the authors (Josep Grau-Valldosera and Julià Minguillón) reach a pure empirical definition, at a programme level, of students who drop out of an online higher education context with non-mandatory enrolment. This definition is based on the probability of students not continuing a specific academic programme following several consecutive semesters of “theoretical break”, and is highly adaptable to institutions offering distance education with no permanence requirements. Analyzing the reasons behind these facts should help higher education institutions to make more sound and efficient decisions.Framework for preserving security and privacy in peer-to-peer content distrib...
Framework for preserving security and privacy in peer-to-peer content distrib...UOC Universitat Oberta de Catalunya
The use of P2P networks for multimedia distribution has spread out globally in recent years.
Therefore, there is a strong need for a content distribution mechanism over P2P networks that do not pose security and privacy threats to the copyright holders or to end users, respectively. The existent systems for copyright and privacy protection employ cryptographic mechanisms at a cost of high computational burden which makes these systems impractical for distributing large files. In this presentation, the authors (Amna Qureshi, David Megías, Helena Rifà-Pous) propose and analyse a P2P content distribution system which allows efficient distribution of large-sized content while preserving the security and privacy of merchants and buyers, respectively. The experimental results confirm that the framework provides an efficient solution to copyright infringement issues over P2P networks, while protecting the end users’ privacy.Routing Fleets with Multiple Driving Ranges: is it possible to use greener fl...
Routing Fleets with Multiple Driving Ranges: is it possible to use greener fl...UOC Universitat Oberta de Catalunya
In this presentation the authors (Angel A. Juan, Jarrod Goentzel, Tolga Bektas) discuss the vehicle routing problem with multiple driving ranges. The presentation describes an integer programming formulation and a multi-round heuristic algorithm
that iteratively constructs a solution to the problem. Using a set of benchmarks adapted
from the literature, the algorithm is employed to analyse how distance-based costs are increased when considering ‘greener’ fleet configurations – ie, when using electric vehicles
with different degrees of autonomy.Another look at ‘being there’ experiences in digital media: exploring connect...
Another look at ‘being there’ experiences in digital media: exploring connect...UOC Universitat Oberta de Catalunya
Presence is the feeling of being within a virtual environment and the perception of that landscape. Presence is a distinct form of imagery triggered by digital media that exists on an imagery continuum from thought to imagination. Presence involves narrative transportation and cognitive elaboration.RSS and Sensor Fusion Algorithms for Indoor Location Systems on Smartphones
RSS and Sensor Fusion Algorithms for Indoor Location Systems on SmartphonesUOC Universitat Oberta de Catalunya
Location-based applications require knowing the user position constantly in order to find out and provide information about user’s context. There is a need for new methods that calculate the location of users in indoor environments using smartphone sensors. In this presentation the authors (Laia Descamps-Vila, Antoni Perez-Navarro, Jordi Conesa) address that problem by presenting two methods that estimate the user position through a smartphone.Anonymizing Graphs: Measuring Quality for Clustering
Anonymization of graph-based data is a problem which has been widely studied in recent years and several anonymization methods have been developed. In this presentation the authors (Jordi Casas-Roma, Jordi Herrera-Joancomartí, Vicenç Torra) study different generic information
loss measures for graphs comparing such measures to the cluster-specific ones. They evaluate whether the generic information loss measures are indicative of the usefulness of the data for subsequent data mining processes.
On the verification of UML/OCL class diagrams using constraint programming
On the verification of UML/OCL class diagrams using constraint programmingUOC Universitat Oberta de Catalunya
Assessment of the correctness of software models is a key issue to ensure the quality of the final application. In this presentation the authors (Jordi Cabot, Robert Clarisó, Daniel Riera) present an automatic method for the verification of UML class diagrams extended with OCL constraints. The method works by translating the UML/OCL model into a Constraint Satisfaction Problem (CSP) that is evaluated using state-of-the-art constraint solvers to determine the correctness of the initial model.More from UOC Universitat Oberta de Catalunya (20)
“Global Trends and Patterns of Violent Extremism: Finding New Responses”
“Global Trends and Patterns of Violent Extremism: Finding New Responses”
Mobile ensembles: The uses of mobile phones for social protest by Spain’s ind...
Mobile ensembles: The uses of mobile phones for social protest by Spain’s ind...
El principio de integridad en la contratación pública. Mecanismos para la pre...
El principio de integridad en la contratación pública. Mecanismos para la pre...
Smart contradictions: The politics of making Barcelona a Self-sufficient city
Smart contradictions: The politics of making Barcelona a Self-sufficient city
Gender Stereotypes and Attitudes Towards Information and Communication Techno...
Gender Stereotypes and Attitudes Towards Information and Communication Techno...
Co-creation and Participation as a Means of Innovation in New Media: An Analy...
Co-creation and Participation as a Means of Innovation in New Media: An Analy...
The end of scarcity? Water desalination as the new cornucopia for Mediterrane...
The end of scarcity? Water desalination as the new cornucopia for Mediterrane...
Urban Ecology Under Fire: Water Supply in Madrid During the Spanish Civil War...
Urban Ecology Under Fire: Water Supply in Madrid During the Spanish Civil War...
Little arrangements that matter. Rethinking autonomy-enabling innovations for...
Little arrangements that matter. Rethinking autonomy-enabling innovations for...
La construcción colaborativa de proyectos como metodología para adquirir comp...
La construcción colaborativa de proyectos como metodología para adquirir comp...
What leads people to keep on e-learning? An empirical analysis of users’ expe...
What leads people to keep on e-learning? An empirical analysis of users’ expe...
Rethinking dropout in online higher education: The case of the Universitat Ob...
Rethinking dropout in online higher education: The case of the Universitat Ob...
Framework for preserving security and privacy in peer-to-peer content distrib...
Framework for preserving security and privacy in peer-to-peer content distrib...
Routing Fleets with Multiple Driving Ranges: is it possible to use greener fl...
Routing Fleets with Multiple Driving Ranges: is it possible to use greener fl...
Another look at ‘being there’ experiences in digital media: exploring connect...
Another look at ‘being there’ experiences in digital media: exploring connect...
RSS and Sensor Fusion Algorithms for Indoor Location Systems on Smartphones
RSS and Sensor Fusion Algorithms for Indoor Location Systems on Smartphones
Anonymizing Graphs: Measuring Quality for Clustering
Anonymizing Graphs: Measuring Quality for Clustering
On the verification of UML/OCL class diagrams using constraint programming
On the verification of UML/OCL class diagrams using constraint programming
Recently uploaded
一比一原版不列颠哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
快速办理【微信号:176555708】【快速办理(UBC毕业证书)】【微信号:176555708】《成绩单、外壳、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号:176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号:176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版西三一大学毕业证(TWU毕业证书)学历如何办理
加急办理【微信号:176555708】【加急办理(TWU毕业证书)】【微信号:176555708】《成绩单、外壳、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号:176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号:176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
按照学校原版(UPenn文凭证书)宾夕法尼亚大学毕业证快速办理
办理【(UPenn毕业证书)宾夕法尼亚大学毕业证】【176555708微信号】存档可查的成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版圣托马斯大学毕业证(UST毕业证书)学历如何办理
精仿办理【微信号:176555708】【精仿办理(UST毕业证书)】【微信号:176555708】《成绩单、外壳、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号:176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号:176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Building a Raspberry Pi Robot with Dot NET 8, Blazor and SignalR
In this session delivered at NDC Oslo 2024, I talk about how you can control a 3D printed Robot Arm with a Raspberry Pi, .NET 8, Blazor and SignalR.
I also show how you can use a Unity app on an Meta Quest 3 to control the arm VR too.
You can find the GitHub repo and workshop instructions here;
https://bit.ly/dotnetrobotgithub
欧洲杯体彩-欧洲杯体彩比赛投注-欧洲杯体彩比赛投注官网|【网址🎉ac99.net🎉】
【网址🎉ac99.net🎉】欧洲杯体彩是独立的博彩公司。该公司最初专门从事在线体育博彩，现在合并了在线娱乐场。该公司最初成立时以其前董事长Victor Chandler的名字命名，之后更名为欧洲杯体彩。欧洲杯体彩现由商人和赛马主，迈克尔·塔博尔拥有，运营总部设在直布罗陀。平台拥有体育博彩（沙巴）、真人娱乐场、电子游戏、金融投注等游戏项目，支持手机投注，优惠活动很丰富。
欧洲杯投注-欧洲杯投注押注app-欧洲杯投注押注app官网|【网址🎉ac10.net🎉】
【网址🎉ac10.net🎉】欧洲杯投注在多数英超比赛球场都设有投注点，其业务现已扩展到西班牙。欧洲杯投注支持19种语言和货币。更为重要的是，欧洲杯投注使用市场上最为先进的安全系统，为用户提供全年365天，每天24小时的专业服务。
"IOS 18 CONTROL CENTRE REVAMP STREAMLINED IPHONE SHUTDOWN MADE EASIER"
In iOS 18, Apple has introduced a significant revamp to the Control Centre, making it more intuitive and user-friendly. One of the standout features is a quicker and more accessible way to shut down your iPhone. This enhancement aims to streamline the user experience, allowing for faster access to essential functions. Discover how iOS 18's redesigned Control Centre can simplify your daily interactions with your iPhone, bringing convenience right at your fingertips.
买(usyd毕业证书)澳洲悉尼大学毕业证研究生文凭证书原版一模一样
原版定制【微信:bwp0011】《(usyd毕业证书)澳洲悉尼大学毕业证研究生文凭证书》【微信:bwp0011】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
欧洲杯赌钱-欧洲杯赌钱冠军-欧洲杯赌钱冠军赔率|【网址🎉ac10.net🎉】
【网址🎉ac10.net🎉】欧洲杯赌钱是世界上最大的网上博彩公司之一，于直布罗陀注册，在200个国家拥有超过3500万客户。在国际上都可以称得上是极其优秀的博彩公司。总部位于英国Stoke-on-Trent，欧洲杯赌钱在世界各地的雇员超过600名。该公司登录亚洲市场多年，近年针对亚洲的市场拓展的很快。它的特点是投注赔率富于变化，同时对于冷门赛事，赔率变化幅度会大于其它博彩公司。欧洲杯赌钱在终赔阶段往往向立博、韦德等靠拢，一旦差异很大，往往会出现问题。
Recently uploaded (10)
Building a Raspberry Pi Robot with Dot NET 8, Blazor and SignalR
Building a Raspberry Pi Robot with Dot NET 8, Blazor and SignalR
"IOS 18 CONTROL CENTRE REVAMP STREAMLINED IPHONE SHUTDOWN MADE EASIER"
"IOS 18 CONTROL CENTRE REVAMP STREAMLINED IPHONE SHUTDOWN MADE EASIER"
Automated Prediction of Preferences Using Facial Expressions
- 1. Automated Prediction of Preferences Using Facial Expressions David Masip, Michael S. North, Alexander Todorov, Daniel Osherson, PLOSOne 1 Automated Prediction of Preferences Using Facial Expressions
- 2. Introduction: Reading minds Detailed problem: subtle facial expressions • State-of-the-art • Example Methods • Target phase • Perceiver phase • Algorithm Results • Hypothesis one: simple classifier • Hypothesis two: machine learning classifier Conclusions Índex 2 Automated Prediction of Preferences Using Facial Expressions
- 3. 1. Reading minds Can we read the mind? The answer is NO. Not completely at least… Our face reflects somehow our feelings, emotions, … We propose to read/predict what people thinks about two stimuli in a very particular setting: Preferences We explore whether computers can read and infer what humans believe in a binary choosing scenario, and we use only subtle facial expressions and a laptop. 3 Automated Prediction of Preferences Using Facial Expressions
- 4. 4 Facial expression is a powerful non verbal communication cue beyond natural language. “The expression of the Emotions in Man and Animals”. Charles Darwin Paul Ekman. Universality of Facial expression. 6 Universal human emotions. “We need to give computers the capacity to read our feelings and react, in ways that have come to seem startlingly human.” Rana El Kaliouby 1.1. Detailed problem Automated Prediction of Preferences Using Facial Expressions
- 5. 5 FACS 46 atomic movements of facial muscles. Action Units = Building blocks of the emotions Facial emotions = combinations of AUs 1.1. Detailed problem Applications: We transmit more data with our expressions than with what we say. Facial expressions predict: the result of a negotiation, the winner of a congress elections, the election of a partner,… GOAL: apply Computer Vision algorithms to model user preferences in non-posed scenarios. Automated Prediction of Preferences Using Facial Expressions
- 6. 6 Which cartoon this student enjoyed the most? Automated Prediction of Preferences Using Facial Expressions
- 7. Methods: target phase Target phase: Students evaluate two visual stimuli. [People, Cartoons, Animals, Paintings] Visualization for 3 seconds in a screen (E-Prime SW) 7 Automated Prediction of Preferences Using Facial Expressions
- 8. Methods: perceiver phase Students infer the preferences of other students from covertly recorded videos of target’s faces. They only see the target’s face, and guess the preference 8 Automated Prediction of Preferences Using Facial Expressions
- 9. Methods: Algorithm Facial landmarks detection per frame Dispersion descriptor based on temporal landmarks displacements Model: 9 Face Detection Mesh Fitting Dynamic Landmark Descriptor Classifier Automated Prediction of Preferences Using Facial Expressions
- 10. 10 Results Hypothesis one: Maximum – minimum displacement JESP is human accuracy Automated Prediction of Preferences Using Facial Expressions
- 11. 11 Results Hypothesis two: apply SVM to the 66 differences between the maximum and minimum centered displacement. SVM: Standard Machine Learning classifier on a 132 dimensional space Automated Prediction of Preferences Using Facial Expressions
- 12. Conclusions Complex subtle emotion reading technology Can we read minds from facial expression? Yes, if we lower the expectations [Binary preference selection problem] Applications: - Depression monitorization - Pain detection - Deception detection - Dynamically price advertising depending on how people responded to it, - Autism - Sony, Yahoo!, Motorola, Verizon, … “Research in this area provides a rare point of convergence between Computer Science and Social Psychology” 12 Automated Prediction of Preferences Using Facial Expressions