Review of methods and techniques on Mind Reading Computer MachineMadhavi39
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.
Mind reading technology uses functional near-infrared spectroscopy (fNIRS) to measure blood volume and oxygen levels in the brain. A headband sends light into the head tissues and measures light absorption to gauge metabolic brain activity. The computer then analyzes facial expressions and head gestures in real-time to infer mental states like emotions and thoughts. While this technology could help paralyzed patients or those who cannot speak, it also risks privacy breaches and potential misuse if developed without proper safeguards.
The document describes research into developing computer systems that can infer a person's mental state by analyzing facial expressions and head movements in real-time video. Key points:
- Researchers have created a system that uses computer vision and machine learning to analyze 24 facial feature points to detect expressions and head poses that indicate mental states like agreement, interest, or confusion.
- Dynamic Bayesian networks combine the outputs of these expression classifiers to infer the underlying cognitive mental state with 87.4% accuracy on test videos.
- Applications could include enhancing human-computer interaction, monitoring driver attention and mood, and animating avatars based on a person's mental state.
The document discusses recent research into developing "mind-reading" computers that can infer a person's mental states from analyzing their facial expressions and brain activity in real time using sensors. Such technology could allow more natural human-computer interaction and adapt interfaces based on the user's inferred mental workload, emotions, and intentions. However, accurately reading complex mental states from biological signals remains challenging. While the technology holds promise, issues around privacy, ethics, and the limitations of mind-reading need further consideration before real-world applications.
The document discusses mind reading computers. It begins with an introduction explaining that mind reading computers analyze facial expressions and gestures in real time to infer mental states. It then discusses the technology used, including a futuristic headband that measures blood oxygen levels around the brain. Finally, it discusses potential applications of mind reading computers, such as helping communicate with coma patients or allowing people to control devices with their thoughts.
This document discusses mind reading technology that can analyze a person's facial expressions in real time to infer their mental state. It works by tracking facial feature points and using dynamic Bayesian networks to model the relationship between expressions and mental states. Potential applications include improving human-computer interaction, monitoring human interactions, and detecting driver states like drowsiness. However, issues around privacy and predicting future behavior must still be addressed.
This document discusses mind reading technology. It describes how mind reading machines use equipment like futuristic headbands with functional near-infrared spectroscopy to measure blood volume and oxygen levels in the brain. This data is analyzed using techniques like neural networks and active appearance models to detect facial expressions and classify emotions. The document outlines potential applications in emergencies, helping disabled people communicate, and gaming, but also notes serious disadvantages like threats to privacy and security if the technology is misused.
The document discusses a mind reading computer that can infer mental states from facial expressions and gestures. It works by using functional near-infrared spectroscopy to measure blood oxygen levels in the brain while the user performs tasks. The technology has advantages like helping disabled people but also risks like privacy breaches if used improperly. Researchers are working to develop this technology further so computers can interact based on brain activity readings.
Review of methods and techniques on Mind Reading Computer MachineMadhavi39
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.
Mind reading technology uses functional near-infrared spectroscopy (fNIRS) to measure blood volume and oxygen levels in the brain. A headband sends light into the head tissues and measures light absorption to gauge metabolic brain activity. The computer then analyzes facial expressions and head gestures in real-time to infer mental states like emotions and thoughts. While this technology could help paralyzed patients or those who cannot speak, it also risks privacy breaches and potential misuse if developed without proper safeguards.
The document describes research into developing computer systems that can infer a person's mental state by analyzing facial expressions and head movements in real-time video. Key points:
- Researchers have created a system that uses computer vision and machine learning to analyze 24 facial feature points to detect expressions and head poses that indicate mental states like agreement, interest, or confusion.
- Dynamic Bayesian networks combine the outputs of these expression classifiers to infer the underlying cognitive mental state with 87.4% accuracy on test videos.
- Applications could include enhancing human-computer interaction, monitoring driver attention and mood, and animating avatars based on a person's mental state.
The document discusses recent research into developing "mind-reading" computers that can infer a person's mental states from analyzing their facial expressions and brain activity in real time using sensors. Such technology could allow more natural human-computer interaction and adapt interfaces based on the user's inferred mental workload, emotions, and intentions. However, accurately reading complex mental states from biological signals remains challenging. While the technology holds promise, issues around privacy, ethics, and the limitations of mind-reading need further consideration before real-world applications.
The document discusses mind reading computers. It begins with an introduction explaining that mind reading computers analyze facial expressions and gestures in real time to infer mental states. It then discusses the technology used, including a futuristic headband that measures blood oxygen levels around the brain. Finally, it discusses potential applications of mind reading computers, such as helping communicate with coma patients or allowing people to control devices with their thoughts.
This document discusses mind reading technology that can analyze a person's facial expressions in real time to infer their mental state. It works by tracking facial feature points and using dynamic Bayesian networks to model the relationship between expressions and mental states. Potential applications include improving human-computer interaction, monitoring human interactions, and detecting driver states like drowsiness. However, issues around privacy and predicting future behavior must still be addressed.
This document discusses mind reading technology. It describes how mind reading machines use equipment like futuristic headbands with functional near-infrared spectroscopy to measure blood volume and oxygen levels in the brain. This data is analyzed using techniques like neural networks and active appearance models to detect facial expressions and classify emotions. The document outlines potential applications in emergencies, helping disabled people communicate, and gaming, but also notes serious disadvantages like threats to privacy and security if the technology is misused.
The document discusses a mind reading computer that can infer mental states from facial expressions and gestures. It works by using functional near-infrared spectroscopy to measure blood oxygen levels in the brain while the user performs tasks. The technology has advantages like helping disabled people but also risks like privacy breaches if used improperly. Researchers are working to develop this technology further so computers can interact based on brain activity readings.
The document discusses a seminar presentation on mind reading computers. It begins with an introduction on how people express mental states through facial expressions and gestures. It then discusses what mind reading is, how it works using sensors to measure blood oxygen levels in the brain, and the process which involves facial detection and emotional classification techniques. Applications are discussed including using it to help paralyzed people communicate and potential issues around privacy breaches. It concludes that research is underway to allow computers to respond to brain activity.
The document discusses mind reading computers, which use techniques from computer vision, machine learning, and psychology to interpret a person's mental states from their facial expressions and body language in real time. It describes how existing systems work, potential applications like improving human-computer interfaces, and challenges like privacy concerns. Future research may allow mind reading computers to help paralyzed people communicate or monitor brain activity for medical or military purposes if technical and ethical issues can be addressed.
The document presents information on a mind-reading computer developed by researchers at the University of Cambridge. The computer uses sensors and facial recognition software to analyze facial expressions and infer mental states such as mood, interest, or confusion in real time without any input from the user. This could enhance human-computer interaction by allowing technology to react to a person's moods and initiate interactions. The system may also help disabled people communicate their feelings and could be used in applications like detecting driver drowsiness from facial expressions. It works by tracking over 20 facial feature points and identifying gestures and their combinations over time to determine mental states.
The document summarizes a seminar presentation on mind reading computers. It describes how computational models can infer mental states from facial expressions and gestures by analyzing features captured by sensors. Advantages include helping disabled people communicate and monitoring driver attention. Challenges include privacy concerns if the technology is misused to extract confidential information. The presentation demonstrates the ability to silently use a search engine by thinking letters and numbers detected from blood oxygen levels measured on the forehead.
The document describes the development of an application using data from a brainwave sensor. It discusses literature on existing brain-computer interface applications. An initial test had subjects read texts while monitoring their concentration with a sensor. The results showed the sensor could detect changes in concentration but had noise. A new application idea is proposed to visualize sensor data for researchers and students to monitor concentration. Next steps include further developing and testing the application through iterative prototypes and evaluations.
Mind reading computers can infer a person's mental states through analyzing facial expressions and head gestures with video cameras. They work by storing representations of how different mental states like thinking, agreeing, or being happy are expressed physically. Another method uses a headband that measures blood oxygen levels near the brain using functional near-infrared spectroscopy. While this could help people with disabilities, it risks privacy breaches and extracting confidential information. The accuracy of inferring thoughts is currently around 86.4% but the complexity of the human mind poses challenges to fully realizing mind reading computers.
This document is a 3rd year B. Tech student's abstract about developing a mind reading computer. It discusses two potential methods for a computer to infer a person's mental state: 1) Facial expression analysis to understand emotions from smiles or other facial cues. 2) Using an electroencephalograph headband to detect electrical currents in the brain associated with specific thoughts or commands, allowing a computer to potentially identify thoughts based on brain wave patterns. The abstract aims to describe how a computer could analyze facial expressions or brain waves to become a "mind reading computer" and understand people's mental states.
The document discusses mind reading technology that uses facial expression analysis and functional near-infrared spectroscopy to infer mental states. It can recognize emotions and allow communication without touching devices. While it has advantages in helping disabled people, it also raises privacy and security concerns if misused to extract confidential information against one's will. Researchers are working to develop more advanced systems using additional inputs like body language.
A new wave of artificial intelligence breakthroughs is making it possible for technology to do all sorts of things providing advances in machine learning, neural networks and probabilistic models. Implication of these power-packed technological developments for making a positive application in terms of helping the intellectually disabled people in our society is the key idea. This paper constructs a device, named AiderBot which is specially being designed for the improvisation of people having basic intellectual disability problems. The central concept is integrating various techno-devices like chip’s, sensors and GPS trackers into the device which in turn provides communication and independence for the affected. Giving a hand over for such people and their caretakers, AiderBot behaves as a perfect example for Artificial Intelligence as it is designed to support when the human brain dysfunctions.
This document provides a comparative study of computers operated by eyes and brain. It discusses the techniques used for eye tracking in computers operated by eyes, including electro-oculography and pupil tracking. Advantages include ability for disabled people to use computers, while disadvantages include need for head stability and training. Computers operated by brain use EEG to detect brain signals via electrodes on the scalp. Signals are interpreted as commands. Advantages are independence from movement and location, while disadvantages include risks of surgery and interference with signals. Key differences between the two methods are also summarized.
The document discusses a "mind-reading computer" system being developed that can analyze a person's facial expressions in real time to infer their underlying mental state, such as agreement, interest, or confusion. It works by measuring blood volume and oxygen levels around the brain using functional near-infrared spectroscopy sensors in a headband. Potential applications include predicting bankruptcy, facial recognition, marketing, and assisting paralyzed or disabled people by interpreting their thoughts. Challenges include privacy concerns and ensuring it can accurately read many different people. The research aims to enhance human-computer interaction through empathetic responses.
This document summarizes an invited talk given by Dr. Aladdin Ayesh on artificial intelligence topics. The talk covered definitions of AI, major AI fields like machine learning, planning, natural language processing and computer vision. It also discussed applications of AI such as intelligent interfaces, personalization, smart services and analytics. Throughout the talk, examples and potential future directions were provided for different AI topics.
a simulation of modern technological university which dependent on the modern ways to teach their students with AI technology to improve their mental health and learning abilities.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
The document discusses Blue Eyes technology, which uses sensors and image processing techniques to identify human emotions based on facial expressions and eye movements. It can sense emotions like sad, happy, surprised. The technology aims to give computers human-like perceptual abilities by analyzing facial expressions and eye gaze. This is done using sensors like cameras and microphones along with techniques like facial recognition and eye tracking. It has applications in control rooms, driver monitoring systems, and interfaces that adapt based on inferred user interests from eye gaze. The document provides details of various sensors involved - emotion mouse, expression glasses, speech recognition systems - and how they can help computers understand and interact with humans at a more personal level.
Mind reading machines use techniques from psychology, computer vision, and machine learning to analyze facial expressions and infer mental states. By tracking over 20 facial feature points in real-time, these systems can identify emotions like anger, fear, happiness and more. Researchers are working to expand these systems to incorporate other inputs like body language. Potential applications include monitoring driver alertness, helping paralyzed people control devices, and communicating with patients in comas. However, some experts warn that fully developed mind reading could enable future crimes if used by malicious actors or compromise privacy and security.
This document provides an overview of mind reading computer technology. It discusses how mind reading works using functional near-infrared spectroscopy to measure blood oxygen levels in the brain. The techniques section outlines how facial affect detection, emotional classification using Paul Ekman's models, facial electromyography, galvanic skin response, and blood volume pulse are used. Applications mentioned include prediction of bankruptcy, facial recognition, marketing, and assisting paralyzed patients or astronauts. Advantages are control of wheelchairs with thought and covert communication. Disadvantages discussed are challenges for the legal system and need for extensive training of systems. The conclusion indicates mind reading computers may be viable within 5 years and could help air traffic control.
The document discusses applications of brain-computer interfaces (BCIs). It describes how BCIs can help people with disabilities like amyotrophic lateral sclerosis communicate and interact with their environment by bypassing damaged motor pathways. BCIs are also being used and developed for gaming applications through neurogaming. This allows games to be controlled and influenced by the player's brain activity and state. Finally, the document outlines some specific BCI applications for disabled people, including a wheelchair and robot arm that can be controlled by thought.
Finanzas internacionales sec. d. 31 mayo de 2013Rafael Verde)
Este documento presenta los resultados académicos de 45 estudiantes de la carrera de Finanzas Internacionales. Incluye el nombre, número de identificación, notas en diferentes áreas como exposiciones, ensayos y pruebas de cada estudiante, así como su promedio final. La mayoría de los estudiantes obtuvieron buenos resultados académicos.
The document discusses a seminar presentation on mind reading computers. It begins with an introduction on how people express mental states through facial expressions and gestures. It then discusses what mind reading is, how it works using sensors to measure blood oxygen levels in the brain, and the process which involves facial detection and emotional classification techniques. Applications are discussed including using it to help paralyzed people communicate and potential issues around privacy breaches. It concludes that research is underway to allow computers to respond to brain activity.
The document discusses mind reading computers, which use techniques from computer vision, machine learning, and psychology to interpret a person's mental states from their facial expressions and body language in real time. It describes how existing systems work, potential applications like improving human-computer interfaces, and challenges like privacy concerns. Future research may allow mind reading computers to help paralyzed people communicate or monitor brain activity for medical or military purposes if technical and ethical issues can be addressed.
The document presents information on a mind-reading computer developed by researchers at the University of Cambridge. The computer uses sensors and facial recognition software to analyze facial expressions and infer mental states such as mood, interest, or confusion in real time without any input from the user. This could enhance human-computer interaction by allowing technology to react to a person's moods and initiate interactions. The system may also help disabled people communicate their feelings and could be used in applications like detecting driver drowsiness from facial expressions. It works by tracking over 20 facial feature points and identifying gestures and their combinations over time to determine mental states.
The document summarizes a seminar presentation on mind reading computers. It describes how computational models can infer mental states from facial expressions and gestures by analyzing features captured by sensors. Advantages include helping disabled people communicate and monitoring driver attention. Challenges include privacy concerns if the technology is misused to extract confidential information. The presentation demonstrates the ability to silently use a search engine by thinking letters and numbers detected from blood oxygen levels measured on the forehead.
The document describes the development of an application using data from a brainwave sensor. It discusses literature on existing brain-computer interface applications. An initial test had subjects read texts while monitoring their concentration with a sensor. The results showed the sensor could detect changes in concentration but had noise. A new application idea is proposed to visualize sensor data for researchers and students to monitor concentration. Next steps include further developing and testing the application through iterative prototypes and evaluations.
Mind reading computers can infer a person's mental states through analyzing facial expressions and head gestures with video cameras. They work by storing representations of how different mental states like thinking, agreeing, or being happy are expressed physically. Another method uses a headband that measures blood oxygen levels near the brain using functional near-infrared spectroscopy. While this could help people with disabilities, it risks privacy breaches and extracting confidential information. The accuracy of inferring thoughts is currently around 86.4% but the complexity of the human mind poses challenges to fully realizing mind reading computers.
This document is a 3rd year B. Tech student's abstract about developing a mind reading computer. It discusses two potential methods for a computer to infer a person's mental state: 1) Facial expression analysis to understand emotions from smiles or other facial cues. 2) Using an electroencephalograph headband to detect electrical currents in the brain associated with specific thoughts or commands, allowing a computer to potentially identify thoughts based on brain wave patterns. The abstract aims to describe how a computer could analyze facial expressions or brain waves to become a "mind reading computer" and understand people's mental states.
The document discusses mind reading technology that uses facial expression analysis and functional near-infrared spectroscopy to infer mental states. It can recognize emotions and allow communication without touching devices. While it has advantages in helping disabled people, it also raises privacy and security concerns if misused to extract confidential information against one's will. Researchers are working to develop more advanced systems using additional inputs like body language.
A new wave of artificial intelligence breakthroughs is making it possible for technology to do all sorts of things providing advances in machine learning, neural networks and probabilistic models. Implication of these power-packed technological developments for making a positive application in terms of helping the intellectually disabled people in our society is the key idea. This paper constructs a device, named AiderBot which is specially being designed for the improvisation of people having basic intellectual disability problems. The central concept is integrating various techno-devices like chip’s, sensors and GPS trackers into the device which in turn provides communication and independence for the affected. Giving a hand over for such people and their caretakers, AiderBot behaves as a perfect example for Artificial Intelligence as it is designed to support when the human brain dysfunctions.
This document provides a comparative study of computers operated by eyes and brain. It discusses the techniques used for eye tracking in computers operated by eyes, including electro-oculography and pupil tracking. Advantages include ability for disabled people to use computers, while disadvantages include need for head stability and training. Computers operated by brain use EEG to detect brain signals via electrodes on the scalp. Signals are interpreted as commands. Advantages are independence from movement and location, while disadvantages include risks of surgery and interference with signals. Key differences between the two methods are also summarized.
The document discusses a "mind-reading computer" system being developed that can analyze a person's facial expressions in real time to infer their underlying mental state, such as agreement, interest, or confusion. It works by measuring blood volume and oxygen levels around the brain using functional near-infrared spectroscopy sensors in a headband. Potential applications include predicting bankruptcy, facial recognition, marketing, and assisting paralyzed or disabled people by interpreting their thoughts. Challenges include privacy concerns and ensuring it can accurately read many different people. The research aims to enhance human-computer interaction through empathetic responses.
This document summarizes an invited talk given by Dr. Aladdin Ayesh on artificial intelligence topics. The talk covered definitions of AI, major AI fields like machine learning, planning, natural language processing and computer vision. It also discussed applications of AI such as intelligent interfaces, personalization, smart services and analytics. Throughout the talk, examples and potential future directions were provided for different AI topics.
a simulation of modern technological university which dependent on the modern ways to teach their students with AI technology to improve their mental health and learning abilities.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
The document discusses Blue Eyes technology, which uses sensors and image processing techniques to identify human emotions based on facial expressions and eye movements. It can sense emotions like sad, happy, surprised. The technology aims to give computers human-like perceptual abilities by analyzing facial expressions and eye gaze. This is done using sensors like cameras and microphones along with techniques like facial recognition and eye tracking. It has applications in control rooms, driver monitoring systems, and interfaces that adapt based on inferred user interests from eye gaze. The document provides details of various sensors involved - emotion mouse, expression glasses, speech recognition systems - and how they can help computers understand and interact with humans at a more personal level.
Mind reading machines use techniques from psychology, computer vision, and machine learning to analyze facial expressions and infer mental states. By tracking over 20 facial feature points in real-time, these systems can identify emotions like anger, fear, happiness and more. Researchers are working to expand these systems to incorporate other inputs like body language. Potential applications include monitoring driver alertness, helping paralyzed people control devices, and communicating with patients in comas. However, some experts warn that fully developed mind reading could enable future crimes if used by malicious actors or compromise privacy and security.
This document provides an overview of mind reading computer technology. It discusses how mind reading works using functional near-infrared spectroscopy to measure blood oxygen levels in the brain. The techniques section outlines how facial affect detection, emotional classification using Paul Ekman's models, facial electromyography, galvanic skin response, and blood volume pulse are used. Applications mentioned include prediction of bankruptcy, facial recognition, marketing, and assisting paralyzed patients or astronauts. Advantages are control of wheelchairs with thought and covert communication. Disadvantages discussed are challenges for the legal system and need for extensive training of systems. The conclusion indicates mind reading computers may be viable within 5 years and could help air traffic control.
The document discusses applications of brain-computer interfaces (BCIs). It describes how BCIs can help people with disabilities like amyotrophic lateral sclerosis communicate and interact with their environment by bypassing damaged motor pathways. BCIs are also being used and developed for gaming applications through neurogaming. This allows games to be controlled and influenced by the player's brain activity and state. Finally, the document outlines some specific BCI applications for disabled people, including a wheelchair and robot arm that can be controlled by thought.
Finanzas internacionales sec. d. 31 mayo de 2013Rafael Verde)
Este documento presenta los resultados académicos de 45 estudiantes de la carrera de Finanzas Internacionales. Incluye el nombre, número de identificación, notas en diferentes áreas como exposiciones, ensayos y pruebas de cada estudiante, así como su promedio final. La mayoría de los estudiantes obtuvieron buenos resultados académicos.
The document summarizes information about UC Berkeley in Hong Kong, a club established to connect Berkeley alumni, parents, faculty, and students in Hong Kong. It lists the executive committee, marketing and outreach committee, parents committee, young bears committee, and legal counsel. It also provides information on past and upcoming events and how to stay connected through the Berkeley Club of Hong Kong email list or joining the @cal online alumni community.
ARE CEOS PAID FOR PERFORMANCE? Evaluating the Effectiveness of Equity IncentivesTrading Game Pty Ltd
Companies that awarded their Chief Executive Officers (CEOs) higher equity incentives had
below-median returns based on a sample of 429 large-cap U.S. companies observed from
2006 to 2015. On a 10-year cumulative basis, total shareholder returns of those companies
whose total summary pay (the level that must be disclosed in the summary tables of proxy
statements) was below their sector median outperformed those companies where pay
exceeded the sector median by as much as 39%.1
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of neurotransmitters and endorphins which elevate and stabilize mood.
2134-03212016_ED-Five-year Strategic Plan timeline_v4Marisol Quintana
MEDA was founded in 1973 in San Francisco's Mission District to promote economic equity for Latino families. Over the past 45 years, MEDA has expanded its programs to include business development, financial capability training, housing counseling, workforce development, broadband adoption, and advocacy work. MEDA now has a $10 million budget, 58 employees, and serves over 6,800 clients annually at its Plaza Adelante neighborhood center through its various asset-building and community development programs.
The document outlines 7 things crowdsourcing companies still need to do to improve, along with 3 predictions for the future. The 7 things are: 1) consolidate by joining forces with peers, 2) innovate business models and value propositions, 3) take responsibility for crowd compensation models, 4) encourage broader adoption, 5) focus efforts on delivering value, 6) move beyond just collecting big data to achieving measurable results, and 7) think bigger with bold ideas rather than more platforms. The 3 predictions are that companies will break out or fail, new intelligence mechanisms will replace just collecting big data, and commerce will be the next step after content and community development.
El documento discute la afirmación de Netanyahu de que el muro fronterizo de Israel detuvo toda la inmigración ilegal. Sin embargo, el muro en realidad sólo buscaba impedir la entrada de inmigrantes negros de África que buscaban asilo, mientras que la mayoría de los inmigrantes ilegales en Israel son europeos blancos que llegan en avión. La política de inmigración de Israel discrimina a los africanos y se niega a considerar sus solicitudes de asilo a pesar de que provienen de países con graves problemas
From zero to SYSTEM on full disk encrypted windows systemNabeel Ahmed
This document discusses exploiting trust relationships and group policies to escalate privileges on a Windows system with full disk encryption. It describes exploiting MS15-122 and MS16-014 to poison the credential cache and authenticate to a rogue domain controller. Group policies can then be used to run applications with SYSTEM privileges and extract credentials or encryption keys before Windows fully loads. While Windows 10 provides some improvements, similar vulnerabilities were still present until MS16-072 was released after several months.
El documento describe cuatro estrategias básicas para empresas débiles o en crisis: 1) una modesta ofensiva estratégica para mejorar la posición competitiva, 2) una defensa agresiva para mantener la cuota de mercado y rentabilidad actuales, 3) un abandono inmediato mediante la venta o cierre de operaciones, o 4) una estrategia de cosecha para maximizar flujos de efectivo a corto plazo antes de una salida ordenada. También presenta siete indicadores para determinar cuándo usar una estrategia de cosecha
O documento discute softwares de aplicação para monitoramento de redes e servidores. Ele introduz como as redes estão se tornando mais sofisticadas e como as empresas dependem delas para compartilhamento e administração de dados. Também descreve o Packet Tracer, um software gratuito da Cisco para simulação e análise de redes que permite monitorar pacotes de dados, essencial para profissionais, professores e estudantes.
The document discusses the classification of animals in the kingdom Animalia. It describes the key criteria used for animal classification, including the number of germ layers, body plan, symmetry, body cavity, segmentation, and body support structures. It then provides details on some of the major non-chordate phyla, including Porifera, Cnidaria, Ctenophora, Platyhelminthes, Aschelminthes, Annelida, Arthropoda, and Mollusca. It outlines distinguishing morphological and anatomical features of animals within these phyla.
Este documento trata de uma decisão judicial sobre uma representação do Ministério Público Federal solicitando medidas como prisão preventiva e busca e apreensão contra pessoas suspeitas de envolvimento em uma organização criminosa que desviou recursos públicos no Rio de Janeiro por meio de esquemas de corrupção e lavagem de dinheiro. A decisão analisa as provas apresentadas e defere em parte as medidas solicitadas.
El documento discute la afirmación de Netanyahu de que el muro fronterizo de Israel detuvo toda la inmigración ilegal. Sin embargo, el muro en realidad sólo buscaba impedir la entrada de inmigrantes negros de África que buscaban asilo, mientras que la mayoría de los inmigrantes ilegales en Israel son europeos blancos que llegan en avión. Además, Israel se niega a procesar las solicitudes de asilo de los africanos y los detiene en lugar de eso, mostrando que la política de inmig
La ética kantiana se centra en el deber sobre el deseo. Propone una teoría deontológica donde la intencionalidad del acto es lo más importante, independientemente de las consecuencias. Kant argumenta que una acción sólo es moralmente correcta si se puede desear que se convierta en una ley universal, conocido como el imperativo categórico.
A UK magazine aimed at children aged 12 and under, Cool Kidz, has been featuring screenshots of adult-rated video games in its issues. The screenshots depicted realistic computer-generated images of men carrying weapons from games rated 18 and 16 by the PEGI video game content rating system. While the screenshots did not show explicit violence or sexuality, children's advocates argue it exposes young kids to inappropriate content and could influence them to play adult games at a younger age. The magazine's publisher said they edit images to remove blood and graphic injuries, but some game companies said they did not approve of their games being featured and may take legal action. Regulators said advertising rules do not apply since the screenshots were not paid advertisements.
This document discusses the development of mind reading computer technology. It begins with an introduction to mind reading and how computer techniques can be used to gather and analyze facial expression and other biological data to infer mental states. It then discusses how existing mind reading systems work using cameras and sensors to track facial features and infer emotions and intentions. Applications are discussed such as using mind reading to enhance human-computer interaction and monitoring drivers for drowsiness or distraction. Both advantages such as helping disabled individuals and disadvantages around privacy are mentioned.
The document describes the Semantic Cognition in Language (SCiL) mobile application, which was developed to collect data on factors that may be related to dementia through questionnaires and cognitive tasks. It aims to study semantic memory and categorization abilities in older adults using priming and categorization exercises. The app was created using the ResearchKit framework and includes over 100 background and health questions. The researchers hope to identify variables that correlate with memory loss by analyzing the data from a large, diverse pool of participants.
eLearning, Interactive Hypermedia, Neuroscience Icalt06 presentationJaved Alam
This document discusses eLearning instructional design, mapping traditional teaching practices to virtual learning environments, and components of eLearning like lectures and assessments. It also covers topics in neuroscience relevant to eLearning like visual/aural stimulus processing, memory systems, emotion, motivation, attention, and neural plasticity in the brain. The document concludes by discussing using insights from neuroscience to develop new learning science and design effective digital learning content.
This document discusses mind reading technology that can analyze a person's facial expressions and infer their mental state in real time using computer vision and machine learning. It works by tracking 24 feature points on the face and modeling the relationship between facial displays and mental states over time. Potential applications include monitoring driver attention and improving human-computer interfaces, but issues around privacy and predicting future behavior need to be addressed. Research is ongoing to develop less intrusive methods like using headbands that detect blood oxygen levels to read thoughts.
This document discusses using internet protocols and technology like Skype and Twitter to enhance education. Teachers would post lesson information online for students to access. Students and teachers could communicate virtually to share ideas between schools and globally. Teachers would broadcast training sessions for students to view anytime. Students would use Twitter to update teachers on assignment progress. The goal is to improve education worldwide by allowing different teaching styles and better communication between teachers and students.
Understanding and setting up the iPad as a therapy tool Barbara Fernandes
The document provides information about setting up and using an iPad as a therapy tool. It introduces the presenter and their qualifications and experience using technology. It then outlines the learning objectives of understanding iPad features, accessibility settings, and apps and accessories useful for speech therapy. Several polling questions are asked to gauge attendees' experience with iPads. The bulk of the document then discusses in detail iPad basics, settings, accessories, apps, multi-touch gestures, file sharing, accessibility settings like Guided Access, and tips for using the iPad with groups and protecting student data.
This document discusses mind reading technology and its development. It begins with acknowledgements and then outlines the contents which include an introduction to mind reading, the technology used, instruments, developments, techniques for evaluation, advantages and uses, disadvantages and conclusions. It discusses how EEG, fNIRS and other tools are being used to decode brain activity and reconstruct images of what a person is viewing. While the technology offers advantages for applications like controlling wheelchairs with thought, it also raises issues regarding privacy and the risk of criminalizing innocent people. Further development is still needed to improve accuracy and address societal concerns before practical applications can be realized.
Keynote@QUATIC - Recognizing Developer's Emotions: Advances and Open ChallengesNicole Novielli
Software development is an intellectual activity requiring creativity and problem-solving skills, which are known to be influenced by emotions. Developers experience a wide range of affective states during programming tasks, which may have an impact on their job performance and wellbeing. Early recognition of negative emotions, such as stress or frustration can enable just-in-time intervention for developers and team managers, in order to prevent burnout and undesired turnover. In this talk, I will provide an overview of recent research findings of sentiment analysis in software engineering (SE), address the open challenges, and provide empirically-based guidelines for safe (re)use of SE-specific tools in order to obtain meaningful results.
The document discusses using electrodermal activity (EDA) sensors to measure sympathetic nervous system responses as a way to detect stress, arousal, and other internal states in non-speaking individuals. EDA sensors measure sweat gland activity and can indicate arousal levels, with higher EDA associated with increased sympathetic nervous system activation. The document provides examples of using EDA sensors to detect seizures, measure sleep quality, and investigate memory consolidation. EDA measured from the left and right wrists separately may provide insights into responses linked to the left and right amygdala.
The research discussed in this paper is part of a pilot study in the use of wearable devices incorporating electroencephalogram (EEG) and heartrate sensors to sense for the emotional responses closely correlated to frustration when performing certain tasks. For this study the methodology used a combination of puzzle, arcade style game and a meditation apps to emulate a task based environment and detect frustration and satisfaction emotions. Preliminary results indicate that degree of task completion has an effect on emotions and can be detected by EEG and heartrate changes.
This document discusses mind reading technology that uses sensors and algorithms to interpret a person's mental states from their facial expressions and brain activity in real time. It can infer emotions, thoughts and levels of concentration. The technology has potential advantages for human-computer interaction and assistive technologies but also raises issues regarding privacy, free will and predicting future behavior.
Smartphone and tablet apps for people with disabilities jemsshep07
This presentation explains assistive technology, accessibility and universal design with regard to smartphones and tablets. It also presents a list of recommended apps for case managers and people with disabilities.
The document discusses the development of mind reading computers. It describes how these computers use techniques like facial expression analysis and functional near-infrared spectroscopy to infer a person's mental states. The technology has potential applications in helping paralyzed people communicate, assisting those in comas, and aiding the disabled. However, concerns exist around privacy breaches and the risk of the technology being misused if it could accurately predict human behavior.
The document discusses Brain Gate, which is an electrode chip that can be implanted in the brain to allow communication between brain signals and external devices. It works by detecting electrical signals from the brain during imagined movements and transmitting them to decoding software. The goal is to provide paralyzed patients with computer and device control through thought alone. Early successful tests were conducted with monkeys and then humans. While promising, challenges remain around improving information transfer rates, adaptation, and reducing costs.
The document discusses mind reading technology that uses facial expression analysis and functional near-infrared spectroscopy to infer people's mental states. A team at the University of Cambridge developed a system that tracks 24 facial feature points in real time to identify expressions correlated with mental states like interest or engagement. The technology has potential applications in monitoring human interactions, augmenting social skills, and detecting driver states but also risks privacy breaches if misused. Researchers at Tufts University are developing a system using head-mounted sensors to allow brain activity to control computer interfaces.
The document discusses mind reading technology that uses facial expression analysis and functional near-infrared spectroscopy to infer people's mental states. A team at the University of Cambridge developed a system that tracks 24 facial feature points in real time to identify expressions correlated with mental states like interest or engagement. The technology has potential applications in human-computer interaction, monitoring human interactions, and detecting driver states but also risks privacy breaches or misuse if not properly safeguarded. Researchers at Tufts University are developing a system using head-mounted sensors to detect brain activity and allow computer responses based on the user's mind.
Augmenting Speech-Language Rehabilitation with Brain Computer Interfaces: An ...HCI Lab
Presentation on Aug 7, 2015 in the 17th International Conference on Human-Computer Interaction #HCII2015 in Los Angeles, CA, USA. The paper was presented in the Universal Access in Human-Computer Interaction track in the "Novel technologies for speech, language, attention and child development" session which was chaired by Prof. Margherita Antona, Foundation for Research & Technology - Hellas (FORTH), Greece http://2015.hci.international/friday
everything in the world is getting artificial.now its time to create an artificial brain.these technology makes man completely dependent on machine.technology is created by human,now the technology is creating human.we all have a problem of remembaring some
situations or things sometimes we remember sometimes we fail to remember by if we have blue brain it remembers the situations or things from atleast past 100 years means it stores the information regarding 100 years.
The three Finalists were:
*WEKIT — Wearable Experience for Knowledge Intensive Training — pitch by Paul Lefrere, Innovation Lead
*Sapien Labs (WINNER) — pitch by Tara Thiagarajan, Founder & Chief Scientist
*MyndYou — pitch by Shira Yama Nir, Project Manager
*Judged by: Bill Tucker, Senior Advisor to the K12 Education Program at the Bill & Melinda Gates Foundation; Eduardo Briceño, CEO and Co-founder of Mindset Works; John Cammack, Angel Investor; Neil Allison, Director of Business Model Innovation at Pearson North America
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
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Mobile and Wearable Applications at UWF iTenWired2015
1. Mobile and Wearable Applications at
University of West Florida
Janusz Chudzynski
iTenWired Summit
October 2015
2. About Me
Research Associate at University of West Florida
Taught multiple editions of iOS programming course at UWF
Developer of mobile and web applications for various platforms,
including: iOS, Android and Blackberry
Author two e-books about programming iOS applications
Owner of software development company Izotx LLC.
Education
University of West Florida M.Sc Computer Science Software
Engineering
Warsaw University of Technology M.Sc Management and Production
Engineering
8. Gamification: Fractio
This iPad app was created thanks to combined
effort of Academic Technology Center, School of
Education, Computer Science Department and
North Carolina State University
App helps students (grades 3-6) with learning
concepts of fractions. What distincts the app
from others is that is aligned with Common
Core State Standards for Mathematics.
Teachers and students could use this app for
teaching and learning of concept of fractions. It’
s currently available on the app store.
10. iBeacon
iBeacon is a name of technology that is enabling new location awareness
possibilities for estimation of proximity to a beacon [1] .
Leveraging Bluetooth Low Energy (BLE), a device with iBeacon technology
can be used to establish a region around an object. This allows an iOS device to
determine when it has entered or left the region, along with an estimating
distance to the iBeacon device.
11. How does it work?
1
2 3
1. User enters the beacon’s region
2. App recognizes it and starts
approximating its distance from/to
the beacon
3. App identifies an iBeacon, it’s
proximity and displays data
related to it
12. iBeacon Use Cases
Retail
Contextualized deals:
based on time, location, client
Monitoring Shopping Behavior
storing and analyzing data about customer’s behavior
Indoor Mapping
Education
Contextual learning can be used in libraries, art museums, scavenger hunts, student orientation
Healthcare
Identifying location of patient, doctor.
Social/Dating
Detecting users with the same preferences nearby
Hospitality
Automated check in
13. Supported Hardware
Any device capable of connecting with BLE is capable of interacting with the iBeacons
Apple:
● iPad Mini or later
● iPhone 4s or later
● iPod Touch 4th generation or later
● iPad 3rd generation or later
● Mac Book Air, Mac Book Pro, Mac Pro with BLE
Android
● Google Nexus 4,5,7,10
● Samsung Galaxy
iBeacons are in hundreds of million devices around us!
14. Projects
1. Hospital Notifications. Implemented in Miami’s
Hospital
2. Tracking hospital personnel: improving quality of
patient care
3. Tracking patients of Senior House Living
15. iGerm
● Deployed in Hospital of
Miami
● Available on the AppStore
● Shows hand-hygiene
related notifications to
triggered by the beacons
● contains database of hand-
hygiene questions
25. Brain-Computer Interface
Another communication and control option in the
interaction between users and systems
Applications
● Assistive care providing an alternative communicative
medium for whose cannot use a keyboard or mouse
● Gaming
● Training and education - measuring and training
plasticity of the brain
26. BCI History
● 1924 : Hans Berger, a German neuroscientist, discovers the electrical activity of the human brain with EEG
● 1970: Defense Advanced Research Projects Agency of USA initiates program to explore brain communications
using EEG
● 1976: UCLA’s Brain Computer Interface Laboratory provides evidence that single trial visual evoked potentials
could be used as a communication channel effective enough to control a cursor through a two-dimensional
maze. Profess or Jacques J. Vidal coins the term BCI.
● 1998: First (invasive, non-EEG) implant in the human brain that produces high quality signals
● 1999: BCI is used to aid a quadriplegic for limited hand movement
● 2002: Monkeys are trained to control a computer cursor
● 2003: First BCI game is demonstrated to the public (BrainGate)
● 2005: Monkey brain controls a robotic arm
● 2008: Voiceless phone calls are demonstrated (The Audeo – TI developers conference)
27. EEG electroencephalogram
EEG is a “A test that detects electrical activity in your brain using small, flat metal discs (electrodes)
attached to your scalp.” Your brain cells, also known as neurons, communicate via electrical impulses
and are active all the time
The average human brain has about 100 billion neurons, an EEG test can track changes in neuron
activity that may be useful in diagnosing brain disorders.
It can’t read your mind, but it can tell about your general state.
Raw Data, EEG Band Frequencies
An EEG has different “bands”, defined by the frequency of the waves;
● delta (slow) waves are less than 4 Hz;
● theta bands are 4-8 Hz;
● alpha bands range from 8 to 12 Hz;
● beta bands are anywhere from about 14-30 Hz,
● gamma bands range from 30-80 Hz.
Each of these bands are associated with different states of mental activity.
28. EEG Bands
Gamma Waves
● Too much: Anxiety, high arousal, stress
● Too little: ADHD, depression, learning disabilities
● Optimal: Binding senses, cognition, information processing, learning, perception, REM sleep
Beta Waves
● Too much: Adrenaline, anxiety, high arousal, inability to relax, stress
● Too little: ADHD, daydreaming, depression, poor cognition
● Optimal: Conscious focus, memory, problem solving
Alpha Waves
● Too much: Daydreaming, inability to focus, too relaxed
● Too little: Anxiety, high stress, insomnia, OCD
● Optimal: Relaxation
Theta Waves
● Too much: ADHD, depression, hyperactivity, impulsivity, inattentiveness
● Too little: Anxiety, poor emotional awareness, stress
● Optimal: Creativity, emotional connection, intuition, relaxation
Delta Waves
● Too much: Brain injuries, learning problems, inability to think, severe ADHD
● Too little: Inability to rejuvenate body, inability to revitalize the brain, poor sleep
● Optimal: Immune system, natural healing, restorative / deep sleep
29. Neurosky Mobile
● It’s one of the cheapest options on the
market.
● It measures:
○ attention
○ meditation
○ raw brainwave data.
● It comes with the SDK(Software
development kit) which allows developers
to create new applications for it.
31. Challenges
It’s a future but...
● Usability
● Quality, reliability of the data
● To do more advanced applications requires
training and calibration
● Integration with existing systems