The document describes an artificial passenger system that aims to prevent driver fatigue and accidents. The system uses sensors like eye trackers and cameras to monitor the driver for signs of drowsiness. It engages the driver in conversation to determine alertness. If drowsiness is detected, it takes actions like opening windows, sounding an alarm, or spraying water to wake the driver. The system analyzes speech and eye movements using various components like speech recognition and a conversational planner. Its goal is to keep drivers alert during long solo trips to make roads safer.
The document describes an artificial passenger system developed by IBM to prevent drowsiness in drivers. The system holds conversations with drivers using sensors, cameras and microphones to check their alertness. If a driver seems drowsy, the system may sound alarms or open windows to wake them. It aims to make long solo drives safer by keeping the driver engaged and alert.
The document describes an artificial passenger system that is intended to be installed in vehicle dashboards. It contains an AI companion that holds a driver's profile and engages in conversation to monitor for signs of fatigue. Sensors like microphones and cameras are used to analyze speech, lip movements, and eye tracking to determine if a driver is alert. If signs of fatigue or impairment are detected, the system will warn the driver or change the conversation topic to prevent accidents caused by drowsy driving.
This document summarizes a project to develop an Artificial Passenger system to make long solo car journeys safer. The system uses speech recognition, image processing, and conversation to monitor the driver for signs of fatigue. It aims to prevent accidents by keeping the driver alert through natural conversation. If the driver seems tired based on their speech patterns or facial expressions, the system will take actions to get their attention before an accident occurs. The project outlines the objectives, literature review on similar systems, proposed system architecture and algorithm, hardware and software requirements, advantages in preventing accidents, and future applications using additional sensors.
An artificial passenger system is proposed to ensure drivers stay alert. It would converse with drivers using speech generation and ask questions to check alertness. A camera and voice analysis could also monitor for drowsiness, and measures like opening windows or spraying water may be used if needed. Developing voice-controlled telematics systems can reduce distraction compared to manual controls. Allowing natural speech queries makes it easier for drivers to interact without remembering complex syntax. However, full natural language understanding requires significant computer resources not available in vehicles. To address this, natural language components could be located on remote servers or downsized to run locally on embedded chips in vehicles. Researchers are developing a reduced natural language understanding variant that can run on limited resource
The document describes a proposed artificial passenger system developed by IBM to prevent driver fatigue on long solo trips. The system would hold conversations with drivers to monitor alertness and take safety measures if drowsiness is detected. It would use various components like speech recognition, analysis of responses, and alarms or conversation changes to prevent falling asleep. The goal is to reduce accidents caused by fatigue and make solo driving safer overall. Future applications could provide routing assistance based on traffic or destination changes.
Driver fatigue causes many car accidents each year. Existing methods to prevent fatigue like coffee and tablets have disadvantages. IBM has developed an artificial passenger system to help. It uses speech recognition, cameras, sensors and conversation to monitor the driver and prevent fatigue through alerts or engaging conversation. If the driver seems impaired, it can also alert other nearby vehicles. This system could help keep operators and others in safety-critical jobs alert as well.
The document describes an artificial passenger system that would be installed in vehicle dashboards. The system uses sensors, cameras and microphones to monitor the driver for signs of fatigue or impairment. It can detect things like prolonged eye closures that indicate the driver may fall asleep. If issues are detected, it will play warning messages or alerts to engage the driver. The system is designed to make solo driving safer by providing an artificial intelligence companion. It aims to help prevent accidents caused by issues like driver fatigue that lead to billions in costs annually. Future applications could include using the system to provide routing assistance or entertainment options without compromising safety.
The document describes an artificial passenger system developed by IBM to prevent drowsiness in drivers. The system holds conversations with drivers using sensors, cameras and microphones to check their alertness. If a driver seems drowsy, the system may sound alarms or open windows to wake them. It aims to make long solo drives safer by keeping the driver engaged and alert.
The document describes an artificial passenger system that is intended to be installed in vehicle dashboards. It contains an AI companion that holds a driver's profile and engages in conversation to monitor for signs of fatigue. Sensors like microphones and cameras are used to analyze speech, lip movements, and eye tracking to determine if a driver is alert. If signs of fatigue or impairment are detected, the system will warn the driver or change the conversation topic to prevent accidents caused by drowsy driving.
This document summarizes a project to develop an Artificial Passenger system to make long solo car journeys safer. The system uses speech recognition, image processing, and conversation to monitor the driver for signs of fatigue. It aims to prevent accidents by keeping the driver alert through natural conversation. If the driver seems tired based on their speech patterns or facial expressions, the system will take actions to get their attention before an accident occurs. The project outlines the objectives, literature review on similar systems, proposed system architecture and algorithm, hardware and software requirements, advantages in preventing accidents, and future applications using additional sensors.
An artificial passenger system is proposed to ensure drivers stay alert. It would converse with drivers using speech generation and ask questions to check alertness. A camera and voice analysis could also monitor for drowsiness, and measures like opening windows or spraying water may be used if needed. Developing voice-controlled telematics systems can reduce distraction compared to manual controls. Allowing natural speech queries makes it easier for drivers to interact without remembering complex syntax. However, full natural language understanding requires significant computer resources not available in vehicles. To address this, natural language components could be located on remote servers or downsized to run locally on embedded chips in vehicles. Researchers are developing a reduced natural language understanding variant that can run on limited resource
The document describes a proposed artificial passenger system developed by IBM to prevent driver fatigue on long solo trips. The system would hold conversations with drivers to monitor alertness and take safety measures if drowsiness is detected. It would use various components like speech recognition, analysis of responses, and alarms or conversation changes to prevent falling asleep. The goal is to reduce accidents caused by fatigue and make solo driving safer overall. Future applications could provide routing assistance based on traffic or destination changes.
Driver fatigue causes many car accidents each year. Existing methods to prevent fatigue like coffee and tablets have disadvantages. IBM has developed an artificial passenger system to help. It uses speech recognition, cameras, sensors and conversation to monitor the driver and prevent fatigue through alerts or engaging conversation. If the driver seems impaired, it can also alert other nearby vehicles. This system could help keep operators and others in safety-critical jobs alert as well.
The document describes an artificial passenger system that would be installed in vehicle dashboards. The system uses sensors, cameras and microphones to monitor the driver for signs of fatigue or impairment. It can detect things like prolonged eye closures that indicate the driver may fall asleep. If issues are detected, it will play warning messages or alerts to engage the driver. The system is designed to make solo driving safer by providing an artificial intelligence companion. It aims to help prevent accidents caused by issues like driver fatigue that lead to billions in costs annually. Future applications could include using the system to provide routing assistance or entertainment options without compromising safety.
The document describes an artificial passenger (AP) system intended to prevent car accidents caused by driver fatigue. The AP uses eye tracking and voice recognition devices to monitor the driver for signs of drowsiness. If drowsiness is detected, the AP will initiate conversations with the driver or sound an alarm to prevent falling asleep. The system was designed to make solo driving safer and aims to reduce the 100,000 crashes, 15,000 deaths and 71,000 injuries that occur annually due to driver fatigue.
This document describes an artificial intelligence system called the Artificial Passenger that is intended to prevent driver fatigue. The system uses various sensors and components like a microphone, camera, speech recognition, and natural language processing to monitor the driver and engage them in conversation to help keep them alert. If the driver seems drowsy, the Artificial Passenger will activate alarms or change the conversation. This system could help reduce the 100,000 crashes and 1,500 fatalities annually caused by driver fatigue according to the NHTSA. The Artificial Passenger has potential applications beyond vehicles to help keep operators and security guards alert in other settings.
The document discusses an artificial passenger system developed by IBM to prevent driver sleepiness on long solo car rides. The system holds conversations with drivers to check their alertness level. It uses sensors, cameras and voice recognition to detect signs of fatigue. If a driver seems drowsy, the system engages them in games or changes the conversation topic to increase alertness. It can also activate alarms by opening windows or spraying water if needed to prevent an accident caused by an asleep driver. The system aims to make long solo drives safer through continuous monitoring of driver vigilance.
The document describes an artificial passenger system that would converse with drivers to help prevent drowsiness and fatigue. The system would use speech recognition and generation, as well as cameras and voice analysis, to engage the driver in conversation and determine if they seem alert or drowsy. If drowsiness is detected, the system may try to startle the driver by changing the radio, opening windows, sounding an alarm, or spraying water to help ensure driver safety. The goal is to develop natural language capabilities that can run on embedded vehicle computers using limited resources.
The document discusses an artificial passenger, which is a telematic device developed by IBM to make journeys safer. It holds conversations with drivers to determine if they are alert enough to drive. The artificial passenger uses sensors and cameras to monitor the driver for signs of drowsiness or impairment, and plays messages or games to prevent accidents if risks are detected. It was created to reduce accidents by facilitating communication between the driver and the vehicle.
The document describes an artificial passenger system that uses sensors and AI to monitor drivers for drowsiness and prevent accidents. It detects drowsiness through analysis of eye movement, blinking, yawning and other biometrics. When drowsiness is detected, it uses speech and other alerts to engage the driver. The system aims to provide conversation and entertainment to help drivers stay alert during long solo trips. It has potential to prevent accidents and be used to ensure alertness in other safety-critical roles.
The document discusses different levels of mastery in a craft from novice to expert. It explores frameworks for skills progression like the Japanese concepts of Shu, Ha, Ri. Additionally, it addresses qualities like collaboration, empathy, and life-long learning that are important for individuals and teams. The presentation aims to help attendees grow into excellence in their work.
This presentation is smartcard and reader centric view of FIPS 201 / PIV program for Federal agencies for physical and logical access. FIPS 201 is a standard developed to comply by 12th presidential directive (HSPD-12).
IRJET- Enhanced Look Based Media Player with Hand Gesture RecognitionIRJET Journal
The document describes a proposed enhanced media player that uses face detection and hand gesture recognition to control playback. Specifically, it will:
1. Continuously monitor the user's face using a webcam and only play the video when the user is looking at the screen, pausing otherwise.
2. Detect hand gestures like raising a hand to increase volume, decrease volume, switch to the next video, or previous video.
3. The system is intended to provide a better media playback experience by automating control and preventing the user from missing parts of a video if they look away. Both face detection and hand gesture recognition are implemented using computer vision algorithms like HAAR cascades.
IRJET- Voice Assisted Text Reading and Google Home Smart Socket Control Syste...IRJET Journal
This document describes a system that aims to help visually impaired persons by allowing them to read text using voice assistance and control smart home devices with voice commands using a Raspberry Pi. The system uses optical character recognition (Tesseract OCR) to extract text from images, which is then converted to speech using e-Speak. It also enables control of smart sockets using Google Home voice recognition on the Raspberry Pi. The goal is to help blind people read text independently and control electrical devices safely using only their voice.
Abnormality in Elderly Fall using Android SmartphoneShivi Tandon
This document describes a student project that aims to develop an Android application to detect abnormal elderly falls using accelerometer and heart rate data collected from Android sensors. The application would classify falls as normal or abnormal and send an SMS alert to a doctor in the case of an abnormal fall. The project uses machine learning techniques like decision trees, Naive Bayes and k-NN classifiers to analyze sensor data and detect falls. Implementation details include collecting accelerometer and heart rate data and storing it in CSV files to train classifiers using Weka.
This document provides an overview of employee leaves for HR professionals. It discusses various types of leaves including medical, workers compensation, maternity/paternity, military, etc. It outlines important steps to take when an employee requests leave such as determining leave basis and duration, ensuring proper documentation is provided, and whether the leave is continuous or intermittent. The document also discusses leave payment status, FMLA eligibility, and return to work procedures.
NZ parcel accuracy, visualising the accuracy myth Andrew Clouston
The surveyed boundaries of NZ Land are commonly represented through the mapping of cadastral parcels. This mapping is of variable accuracy, yet a common myth is that the mapping of the boundary is of the same accuracy as its 'on the ground' definition. Visualising the accuracy enables users to better understand whether the mapping is fit for their purpose. This presentation proposes a methodology that treats accuracy as an area of ambiguity (similar to buffering), and the mapped boundary therfore becomes the 'best guess' of its 'on ground' position.
Ravi Nandavarapu is a project manager with over 9 years of experience in software development, delivery, and customer service. He has extensive experience managing telecom OSS/BSS projects from conceptualization through implementation. Currently he is working as a project lead at Subex Limited in Bangalore, where he is responsible for delivering projects on time, on budget, and with high quality. He has successfully managed several large projects for clients in India and overseas.
Rajesh Ganapathy has over 18 years of experience developing multi-tiered applications using Microsoft technologies like ASP.NET, C#, and SQL Server. He has experience leading teams and delivering commercial projects, including applications for facilities management, healthcare, and shipping. His technical skills include web and desktop application development, database design, and experience with technologies like .NET, JavaScript, and Visual Studio.
This document describes a proposed universal atomic and molecular detector for use in atom interferometry experiments. It aims to detect any atom or molecule, in contrast to existing "hot wire" detectors which only work for atoms with ionization potentials near the wire's work function. The proposed detector uses electron impact ionization: a beam of electrons ionizes atoms in an ionization region, and the ions are then mass filtered and counted. This would allow testing of atomic properties like polarizability predicted by theory. It is motivated by applications like testing parity non-conservation and improving atomic clocks. The document discusses design considerations and ideas like using shaped electron/atom beams or pinching magnets to increase ionization efficiency.
This portfolio belongs to Anne Regine D. Balagosa, a third year student studying Bachelor of Elementary Education majoring in Early Childhood Education at Cavite State University – Main Campus. The portfolio shows how educational technology can be used as constructive, co-constructive, informative, and communication tools to help transform education. Some examples of educational technology discussed include computers, software, the internet, social media, and multimedia. The portfolio also examines conceptual models of learning like meaningful learning, discovery learning, generative learning, and constructivism that can be supported through technology.
SUNY Presentation Interplay Between ADA, FMLA and WC (1)John C. Farruggio
This document discusses the interplay between the Family Medical Leave Act (FMLA), Americans with Disabilities Act (ADA), and workers' compensation laws. It provides examples of how leaves required by each law may overlap and notes important differences. FMLA provides unpaid leave for qualified employees' own or family members' serious health conditions. The ADA requires accommodations that allow disabled employees to perform essential job functions. Workers' compensation provides benefits for work-related injuries but does not determine ADA coverage. Employers must consider an employee's rights under each law separately and coordinate appropriate actions.
Kimberly Pope is seeking an entry-level position in healthcare business management that allows her to utilize her organizational and promotional skills. She has over 15 years of experience in healthcare roles including home health aide, HHA case coordinator, DCW team leader, and resident assistant. Pope has an Associate's degree in Applied Science and General Studies from Mott Community College and certificates in medical administration and as a medical administrative assistant.
The document describes an artificial passenger (AP) system intended to prevent car accidents caused by driver fatigue. The AP uses eye tracking and voice recognition devices to monitor the driver for signs of drowsiness. If drowsiness is detected, the AP will initiate conversations with the driver or sound an alarm to prevent falling asleep. The system was designed to make solo driving safer and aims to reduce the 100,000 crashes, 15,000 deaths and 71,000 injuries that occur annually due to driver fatigue.
This document describes an artificial intelligence system called the Artificial Passenger that is intended to prevent driver fatigue. The system uses various sensors and components like a microphone, camera, speech recognition, and natural language processing to monitor the driver and engage them in conversation to help keep them alert. If the driver seems drowsy, the Artificial Passenger will activate alarms or change the conversation. This system could help reduce the 100,000 crashes and 1,500 fatalities annually caused by driver fatigue according to the NHTSA. The Artificial Passenger has potential applications beyond vehicles to help keep operators and security guards alert in other settings.
The document discusses an artificial passenger system developed by IBM to prevent driver sleepiness on long solo car rides. The system holds conversations with drivers to check their alertness level. It uses sensors, cameras and voice recognition to detect signs of fatigue. If a driver seems drowsy, the system engages them in games or changes the conversation topic to increase alertness. It can also activate alarms by opening windows or spraying water if needed to prevent an accident caused by an asleep driver. The system aims to make long solo drives safer through continuous monitoring of driver vigilance.
The document describes an artificial passenger system that would converse with drivers to help prevent drowsiness and fatigue. The system would use speech recognition and generation, as well as cameras and voice analysis, to engage the driver in conversation and determine if they seem alert or drowsy. If drowsiness is detected, the system may try to startle the driver by changing the radio, opening windows, sounding an alarm, or spraying water to help ensure driver safety. The goal is to develop natural language capabilities that can run on embedded vehicle computers using limited resources.
The document discusses an artificial passenger, which is a telematic device developed by IBM to make journeys safer. It holds conversations with drivers to determine if they are alert enough to drive. The artificial passenger uses sensors and cameras to monitor the driver for signs of drowsiness or impairment, and plays messages or games to prevent accidents if risks are detected. It was created to reduce accidents by facilitating communication between the driver and the vehicle.
The document describes an artificial passenger system that uses sensors and AI to monitor drivers for drowsiness and prevent accidents. It detects drowsiness through analysis of eye movement, blinking, yawning and other biometrics. When drowsiness is detected, it uses speech and other alerts to engage the driver. The system aims to provide conversation and entertainment to help drivers stay alert during long solo trips. It has potential to prevent accidents and be used to ensure alertness in other safety-critical roles.
The document discusses different levels of mastery in a craft from novice to expert. It explores frameworks for skills progression like the Japanese concepts of Shu, Ha, Ri. Additionally, it addresses qualities like collaboration, empathy, and life-long learning that are important for individuals and teams. The presentation aims to help attendees grow into excellence in their work.
This presentation is smartcard and reader centric view of FIPS 201 / PIV program for Federal agencies for physical and logical access. FIPS 201 is a standard developed to comply by 12th presidential directive (HSPD-12).
IRJET- Enhanced Look Based Media Player with Hand Gesture RecognitionIRJET Journal
The document describes a proposed enhanced media player that uses face detection and hand gesture recognition to control playback. Specifically, it will:
1. Continuously monitor the user's face using a webcam and only play the video when the user is looking at the screen, pausing otherwise.
2. Detect hand gestures like raising a hand to increase volume, decrease volume, switch to the next video, or previous video.
3. The system is intended to provide a better media playback experience by automating control and preventing the user from missing parts of a video if they look away. Both face detection and hand gesture recognition are implemented using computer vision algorithms like HAAR cascades.
IRJET- Voice Assisted Text Reading and Google Home Smart Socket Control Syste...IRJET Journal
This document describes a system that aims to help visually impaired persons by allowing them to read text using voice assistance and control smart home devices with voice commands using a Raspberry Pi. The system uses optical character recognition (Tesseract OCR) to extract text from images, which is then converted to speech using e-Speak. It also enables control of smart sockets using Google Home voice recognition on the Raspberry Pi. The goal is to help blind people read text independently and control electrical devices safely using only their voice.
Abnormality in Elderly Fall using Android SmartphoneShivi Tandon
This document describes a student project that aims to develop an Android application to detect abnormal elderly falls using accelerometer and heart rate data collected from Android sensors. The application would classify falls as normal or abnormal and send an SMS alert to a doctor in the case of an abnormal fall. The project uses machine learning techniques like decision trees, Naive Bayes and k-NN classifiers to analyze sensor data and detect falls. Implementation details include collecting accelerometer and heart rate data and storing it in CSV files to train classifiers using Weka.
This document provides an overview of employee leaves for HR professionals. It discusses various types of leaves including medical, workers compensation, maternity/paternity, military, etc. It outlines important steps to take when an employee requests leave such as determining leave basis and duration, ensuring proper documentation is provided, and whether the leave is continuous or intermittent. The document also discusses leave payment status, FMLA eligibility, and return to work procedures.
NZ parcel accuracy, visualising the accuracy myth Andrew Clouston
The surveyed boundaries of NZ Land are commonly represented through the mapping of cadastral parcels. This mapping is of variable accuracy, yet a common myth is that the mapping of the boundary is of the same accuracy as its 'on the ground' definition. Visualising the accuracy enables users to better understand whether the mapping is fit for their purpose. This presentation proposes a methodology that treats accuracy as an area of ambiguity (similar to buffering), and the mapped boundary therfore becomes the 'best guess' of its 'on ground' position.
Ravi Nandavarapu is a project manager with over 9 years of experience in software development, delivery, and customer service. He has extensive experience managing telecom OSS/BSS projects from conceptualization through implementation. Currently he is working as a project lead at Subex Limited in Bangalore, where he is responsible for delivering projects on time, on budget, and with high quality. He has successfully managed several large projects for clients in India and overseas.
Rajesh Ganapathy has over 18 years of experience developing multi-tiered applications using Microsoft technologies like ASP.NET, C#, and SQL Server. He has experience leading teams and delivering commercial projects, including applications for facilities management, healthcare, and shipping. His technical skills include web and desktop application development, database design, and experience with technologies like .NET, JavaScript, and Visual Studio.
This document describes a proposed universal atomic and molecular detector for use in atom interferometry experiments. It aims to detect any atom or molecule, in contrast to existing "hot wire" detectors which only work for atoms with ionization potentials near the wire's work function. The proposed detector uses electron impact ionization: a beam of electrons ionizes atoms in an ionization region, and the ions are then mass filtered and counted. This would allow testing of atomic properties like polarizability predicted by theory. It is motivated by applications like testing parity non-conservation and improving atomic clocks. The document discusses design considerations and ideas like using shaped electron/atom beams or pinching magnets to increase ionization efficiency.
This portfolio belongs to Anne Regine D. Balagosa, a third year student studying Bachelor of Elementary Education majoring in Early Childhood Education at Cavite State University – Main Campus. The portfolio shows how educational technology can be used as constructive, co-constructive, informative, and communication tools to help transform education. Some examples of educational technology discussed include computers, software, the internet, social media, and multimedia. The portfolio also examines conceptual models of learning like meaningful learning, discovery learning, generative learning, and constructivism that can be supported through technology.
SUNY Presentation Interplay Between ADA, FMLA and WC (1)John C. Farruggio
This document discusses the interplay between the Family Medical Leave Act (FMLA), Americans with Disabilities Act (ADA), and workers' compensation laws. It provides examples of how leaves required by each law may overlap and notes important differences. FMLA provides unpaid leave for qualified employees' own or family members' serious health conditions. The ADA requires accommodations that allow disabled employees to perform essential job functions. Workers' compensation provides benefits for work-related injuries but does not determine ADA coverage. Employers must consider an employee's rights under each law separately and coordinate appropriate actions.
Kimberly Pope is seeking an entry-level position in healthcare business management that allows her to utilize her organizational and promotional skills. She has over 15 years of experience in healthcare roles including home health aide, HHA case coordinator, DCW team leader, and resident assistant. Pope has an Associate's degree in Applied Science and General Studies from Mott Community College and certificates in medical administration and as a medical administrative assistant.
Este documento describe la importancia de la estimulación temprana en los primeros años de vida de un niño. La falta de estimulación puede dañar el desarrollo físico y mental del niño de forma irreparable. La estimulación temprana busca enriquecer el medio ambiente del niño para lograr el máximo desarrollo a través de la estimulación en áreas como el movimiento, la percepción, el lenguaje y las habilidades sociales. El desarrollo del sistema nervioso depende de factores genéticos, ambientales y
Парикмахерский бренд Amika в прессе январь 2016nk010282
The document lists two social media profiles from Russia in January 2016. The first is a website called passion.ru from January 2015 located in Russia. The second is an Instagram account called beautycosblog from January 2015 in Russia with 11,600 followers.
The document discusses three main types of music videos:
1) Narrative music videos tell a story related to the song's lyrics through illustration, amplification, or disjuncture. An example is "Sucker for Pain."
2) Concept music videos lack a storyline and aim to portray an unusual, memorable concept through creativity. Gotye's "Somebody I Used to Know" exemplifies this.
3) Performance music videos focus on the artist performing the song live with little other production, making them cheaper but sometimes less interesting to watch. Bon Jovi's "Livin' on a Prayer" illustrates this type.
- More data is being created and stored every year, increasing the value of business data but also the risk of losing it through disasters, failures, breaches or viruses.
- Small businesses are at greater risk of data loss and downtime than larger businesses as they have fewer resources to prevent or recover from these incidents. Losing data can force small businesses to close within a year.
- Having a backup and disaster recovery solution is essential for businesses to avoid costs from downtime and data loss. It protects data, meets compliance needs, and ensures the business can continue operating even during a disaster.
1. The document provides instructions for using various Dropbox features on different devices and platforms, including keeping files safe by automatically backing them up, accessing files from any device, and sending large files by sharing links.
2. It explains how to install the desktop and mobile apps to sync files across devices, and set up shared folders to collaborate on documents in real-time.
3. Additional tips are given for recovering old file versions, saving space by selectively syncing files, and exploring security features like strong passwords and two-step verification.
Este documento presenta las 3 principales razones para elegir las soluciones de seguridad empresarial de ESET: 1) Son simples y directas para combinar la protección de endpoints según las necesidades reales y desplegarla en una amplia gama de plataformas y dispositivos. 2) Tienen un bajo impacto en el sistema para ahorrar recursos. 3) Son fáciles de administrar desde una única consola web para supervisar la seguridad de toda la empresa.
InkIt is a news, information and entertainment mobile app targeting college students and young professionals aged 18-40. It provides articles, blog posts, poetry, news reports and stories across many topics. Users can also contribute their own content. The app aims to fill a gap in the online content market and gain market share through excellent customer service, data analytics, SEO/ASO strategies and diverse high-quality content from publishers and editors. Its goals within 3 years include a $3 million valuation and $125,000 monthly revenue through a freemium model with in-app purchases and advertisements.
Este documento contiene biografías de tres importantes figuras de la tecnología: Bill Gates, cofundador de Microsoft; Linus Torvalds, creador del núcleo Linux; y Steve Jobs, cofundador de Apple. También incluye información sobre sus vidas personales y logros profesionales. El documento está organizado en secciones separadas para cada biografía.
This document introduces D&J For, a staffing agency that provides back office support, technology tools, funding, and business consulting to independent recruiters and small staffing agencies. Key services include administrative support for invoicing, payroll, and software; recruiting tools like LinkedIn Recruiter and PS Recruiter; funding for contractor payrolls; business planning and mentoring; and opportunities to collaborate with other affiliates through job splits. Recruiters can maintain independence while gaining the resources of a larger organization and keep a high percentage of revenue. Interested parties are encouraged to call for additional details.
The document describes an artificial passenger system developed by IBM to monitor driver alertness on long solo drives. The system uses sensors like eye tracking and speech recognition to engage the driver in conversation. If signs of fatigue are detected, such as slowed responses, the system activates alarms to alert the driver. Its goal is to reduce accidents caused by drowsy driving and make long trips safer.
Human Driver’s Drowsiness Detection SystemIRJET Journal
This document presents a review of a proposed system to detect driver drowsiness using computer vision and machine learning techniques. The system would use a camera to capture video of the driver's face and detect drowsiness by analyzing facial features like eye closure and yawning over time. Key features include using the eye aspect ratio and mouth aspect ratio to detect drowsiness, training a machine learning model to classify eye states, and alerting the driver with alarms if drowsiness is detected above threshold levels. The proposed system aims to help prevent accidents caused by fatigued driving by automatically monitoring the driver for signs of drowsiness.
Leap Motion is an American company that manufactures and markets a computer hardware sensor device that supports hand and finger motions as input, analogous to a mouse, but requires no hand contact or touching.
Lesson 2.5 Mobile Apps and Mobile Devices.pptxTarOgre
Here are the matches between the technical terms and their definitions:
Computer - The computer’s electronic and mechanical components
Program - A computer that has a fixed program (e.g. a calculator, a watch, a car's brakes)
Hardware - Houses the computer's main electronic components
Software - Stores the computer's programs and data temporarily while power is on
General purpose computer - A machine that processes information under the control of a program
Special purpose computer - An integrated circuit (IC) consisting of millions of tiny circuits
RAM (random access memory) - A computer that can run many different programs (e.g. a smartphone)
Central Processing Unit (CPU) - The hardware that carries out the instructions
This document outlines the components, working, applications, advantages, disadvantages, and future of an artificial passenger system for cars. The key components are a camera to track the driver's face, an automatic speech recognition system, natural language processor, driver analyzer, conversational planner, and external service provider. It monitors the driver for signs of fatigue like eye blinking, yawning, and response time to detect drowsiness and prevent accidents. Potential applications include hands-free calling, controlling windows, and entertainment. Advantages are safety and alerts for medical issues, while disadvantages are cost and expertise required.
IRJET- Voice Command Execution with Speech Recognition and SynthesizerIRJET Journal
The document describes a voice command execution system using speech recognition and text-to-speech synthesis. The proposed system allows users to complete tasks using only voice commands, reducing time delays compared to traditional systems requiring mouse/keyboard input. It recognizes three types of voice commands - social commands for question answering, web commands to access URLs, and shell commands involving file/application directories. A speech synthesizer converts text to speech to provide output to the user. The system aims to enable hands-free computing for disabled users by executing commands with only voice.
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
The goal of this project is to provide a platform that allows for communication between able-bodied and disabled people or between computers and human beings. There has been great emphasis on Human-Computer-Interaction research to create easy-to-use interfaces by directly employing natural communication and manipulation skills of humans . As an important part of the body, recognizing hand gesture is very important for Human-Computer-Interaction. In recent years, there has been a tremendous amount of research on hand gesture recognition
Abstract/Introduction/Users of Eye gaze/Skills required by the users/ Hardware Parts/Working//Menu's of Eye Gaze Communication System/Applications/Limitations/New Portable Eye Gaze Communication /Environment require for eye Gaze Communication/The eye gaze communication system components & prices/ Conclusion/ Thank you
Speech recognition systems translate spoken words to text. They have evolved from discrete dictation to continuous dictation and have gotten smarter with grammar rules. Accuracy can be measured to examine a recognizer's ability. Some systems require training to a specific speaker while others are speaker independent. Computers do speech recognition by digitizing the audio, analyzing it acoustically and linguistically, and interpreting it based on phonemes and a grammar. Speech recognition has applications in navigation, mobile phones, home automation, education, security, and wearable computers. Generators are programs that create other programs, such as password generators, code generators, and random number generators used for licensing keys or testing.
Real time driver drawiness detection.pptxImmanImman6
This document presents a real-time driver drowsiness detection system that uses the Haar cascade algorithm. The system monitors the driver's face in real-time using a camera, detects the face and eye regions, and analyzes changes in the eye aspect ratio to determine if the driver is drowsy. If drowsiness is detected, the system generates a voice alert to warn the driver. The system is designed to help prevent accidents caused by driver fatigue.
Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
Artificial Intelligence - An Introduction acemindia
Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
Artificial Intelligence exists when a machine can have human based skills such as learning, reasoning, and solving problems.
The document discusses various components of computers including hardware, software, firmware, and humanware. It describes the functions of the central processing unit including the arithmetic logic unit and control unit. It also covers different types of computer memory like RAM, ROM, and cache memory. The document summarizes input and output devices and characteristics of good programming languages. Overall, it provides a comprehensive overview of the basic components and functions of computer systems.
This document describes a mood-based music player application that uses facial expression recognition to determine a user's mood and generate an appropriate music playlist. The application first scans a user's device to analyze audio files and extract features to categorize songs by genre or mood. It then uses the Viola-Jones algorithm on a captured photo of the user's face to detect their expression and deduce their mood. The recognized mood is then used to select a pre-generated playlist that matches. The goal is to automate the process of playlist generation based on a user's current emotional state to provide a more personalized music listening experience.
The document describes a real-time drowsiness detection system that uses a webcam to monitor a driver's face. It detects drowsiness by analyzing features like eye aspect ratio (EAR) and mouth aspect ratio (MAR) over time. The system first locates the face, then eyes and mouth. It calculates EAR by measuring eye closure distances and MAR by measuring mouth opening distances. If EAR and MAR fall below thresholds for a certain number of frames, an alert is triggered by displaying text, sound or sending an SMS message to a designated emergency number. The system was tested over 20 days on people with and without things like glasses or facial hair. It provides a non-intrusive way to detect drowsiness
Control Buggy using Leap Sensor Camera in Data Mining DomainIRJET Journal
This document summarizes a research paper that proposes controlling a buggy using hand gestures detected by a Leap Motion sensor camera. The system extracts 6 points from the detected gesture, calculates 15 features from those points, and compares the features to stored gesture data using similarity algorithms to identify the gesture and command the buggy accordingly. This reduces human effort in driving compared to manual control. The system was designed to recognize gestures for basic buggy movements like forward, backward, left, and right.
Voice Recognition System for Automobile Safety.IRJET Journal
This document presents a proposed voice recognition system for automobile safety and security. The system would use voice commands to provide authorized access to vehicles. It would be implemented using a Raspberry Pi with modules for voice and face recognition trained on stored databases. The system aims to overcome limitations of needing keys for access. It would focus on voice recognition but also use face detection for additional security. The proposed system is intended to enhance automobile security, make keys unnecessary, and apply machine learning to provide intelligent and safe access control.
2. IndexIndex
IntroductionIntroduction
Why such systemWhy such system
Artificial passengerArtificial passenger
What does it doWhat does it do
DevicesDevices
Working componentWorking component
AdvantagesAdvantages
DisadvantagesDisadvantages
ApplicationApplication
Future enhancementFuture enhancement
ConclusionConclusion
BibliographyBibliography
3. IntroductionIntroduction
IBM (International business machinesIBM (International business machines
corporation, NY) has developed a softwarecorporation, NY) has developed a software
that holds a conversation with the driver tothat holds a conversation with the driver to
determine whether the driver can responddetermine whether the driver can respond
alertly enough, called “alertly enough, called “Artificial PassengerArtificial Passenger”.”.
This was designed to makeThis was designed to make
long solo journeys safer andlong solo journeys safer and
more bearable.more bearable.
4. Why Such System?Why Such System?
According to a national survey in UK and USA, itAccording to a national survey in UK and USA, it
is observed that the driver fatigue annuallyis observed that the driver fatigue annually
causescauses
• 10000 crashes10000 crashes
• 1500 deaths1500 deaths
• 7100 injuries7100 injuries
Majority of off-road accidents observed, wereMajority of off-road accidents observed, were
caused by eye closure of half and even 2-3caused by eye closure of half and even 2-3
seconds, where the normal human eye blinks atseconds, where the normal human eye blinks at
0.2-0.3 seconds.0.2-0.3 seconds.
5. What is an Artificial Passenger?What is an Artificial Passenger?
Natural language e-companion.Natural language e-companion.
Sleep preventive device in cars toSleep preventive device in cars to
overcome drowsiness.overcome drowsiness.
Life safety system.Life safety system.
6. What Does It Do?What Does It Do?
Detects alarm conditions through sensors.Detects alarm conditions through sensors.
Broadcasts pre-stored voice messagesBroadcasts pre-stored voice messages
over the speakers.over the speakers.
Captures images of the driver.Captures images of the driver.
8. About Artificial PassengerAbout Artificial Passenger
The AP is anThe AP is an Artificial IntelligenceArtificial Intelligence basedbased
companion that will be resident in softwarecompanion that will be resident in software
and chips embedded in the automobileand chips embedded in the automobile
dashboard.dashboard.
The system has a conversation plannerThe system has a conversation planner
that holds a profile of you, including detailsthat holds a profile of you, including details
of your interests and profession.of your interests and profession.
9. A microphone picks up your answer andA microphone picks up your answer and
breaks it down into separate words withbreaks it down into separate words with
speech-recognition software.speech-recognition software.
A camera built into the dashboard alsoA camera built into the dashboard also
tracks your lip movements to improve thetracks your lip movements to improve the
accuracy of speech recognition.accuracy of speech recognition.
10. A voice analyzer then looks for signs ofA voice analyzer then looks for signs of
tiredness by checking to see if the answertiredness by checking to see if the answer
matches your profile. Slow responses andmatches your profile. Slow responses and
lack of attention are signs of fatigue.lack of attention are signs of fatigue.
If you reply quickly and clearly, the systemIf you reply quickly and clearly, the system
judges you to be alert and tells thejudges you to be alert and tells the
conversation planner to continue the lineconversation planner to continue the line
of questioning.of questioning.
11. If your response is slow or doesn’t makeIf your response is slow or doesn’t make
sense, the voice analyzer assumes yousense, the voice analyzer assumes you
are dropping off and acts to get yourare dropping off and acts to get your
attention.attention.
If driver displays signs of fatigue, theIf driver displays signs of fatigue, the
artificial passenger might be programmedartificial passenger might be programmed
to open all the windows, sound a buzzer,to open all the windows, sound a buzzer,
increase background music volume, orincrease background music volume, or
even spray the driver with ice water.even spray the driver with ice water.
12. Devices Used in ArtificialDevices Used in Artificial
PassengerPassenger
Eye trackerEye tracker
Voice recognizer or speech recognizerVoice recognizer or speech recognizer
Natural language processorNatural language processor
Driver analyzerDriver analyzer
Conversational plannerConversational planner
AlarmAlarm
MicrophoneMicrophone
CameraCamera
13. Working ComponentsWorking Components
Eye-TrackerEye-Tracker
Collecting eye movement data requires both hardware andCollecting eye movement data requires both hardware and
software.software.
Hardware:: Head-Mounted systems or remote systemsHardware:: Head-Mounted systems or remote systems
Both systems measure the corneal reflection of the infrared LED,Both systems measure the corneal reflection of the infrared LED,
which illuminates and generates a reflection off the surface of thewhich illuminates and generates a reflection off the surface of the
eye.eye.
This action causes the pupil to appear as a bright disk in contrast toThis action causes the pupil to appear as a bright disk in contrast to
surrounding iris and creates a small glint underneath the pupil whichsurrounding iris and creates a small glint underneath the pupil which
is used for calibration and tracking.is used for calibration and tracking.
Head mounted systemsHead mounted systems use multiple data points to record eyeuse multiple data points to record eye
movement and measures pupil glint from multiple angles.movement and measures pupil glint from multiple angles.
Remote systemsRemote systems ,in contrast, measure the orientation of the eye,in contrast, measure the orientation of the eye
relative to a fixed unit such as camera.relative to a fixed unit such as camera.
15. Software:Software:
Data collection and analysis is handledData collection and analysis is handled
by eye-tracking software.by eye-tracking software.
Software catalogs eye-tracking in one ofSoftware catalogs eye-tracking in one of
the two waysthe two ways
1.1. ERICA’s Eye Gaze software uses aERICA’s Eye Gaze software uses a
small red x to represent eye movement.small red x to represent eye movement.
2.2. In other, data is stored as a series of x/yIn other, data is stored as a series of x/y
coordinates related to specific grid pointscoordinates related to specific grid points
on the computer screenon the computer screen
17. Working Components( cont…)Working Components( cont…)
Automatic Speech RecognitionAutomatic Speech Recognition
There are two ASRs used in the system:There are two ASRs used in the system:
First one is “speaker independent” and used forFirst one is “speaker independent” and used for
decoding voice signals of the driver.decoding voice signals of the driver.
Second one operates with voice car media andSecond one operates with voice car media and
decodes tapes, audio , telephones, mails etc.decodes tapes, audio , telephones, mails etc.
18. Working Components(Working Components(
contd…)contd…)
Natural Language ProcessorNatural Language Processor
Processes the decoded signals of voice or text data providedProcesses the decoded signals of voice or text data provided
from the ASR.from the ASR.
Identifies related meanings from the contents of the decodedIdentifies related meanings from the contents of the decoded
messages.messages.
Produces variant of responses.Produces variant of responses.
This output goes to the driver analyzer as an input.This output goes to the driver analyzer as an input.
19. Working Components(Working Components(
contd…)contd…)
Driver AnalyzerDriver Analyzer
Receives the textual data and voice data.Receives the textual data and voice data.
Measures the time response using a clock.Measures the time response using a clock.
Time responses, conclusions about driver’sTime responses, conclusions about driver’s
alertness will be passed on to thealertness will be passed on to the
conversational planner.conversational planner.
20. Working Components(Working Components(
contd…)contd…)
Conversational PlannerConversational Planner
It is the heart of the system.It is the heart of the system.
Instructs the language generator to produce theInstructs the language generator to produce the
response.response.
If the driver is in perfect condition CP instructs theIf the driver is in perfect condition CP instructs the
language generator to continue the conversationlanguage generator to continue the conversation
otherwise it will be instructed to change theotherwise it will be instructed to change the
conversation.conversation.
21. Working ComponentsWorking Components
(contd…)(contd…)
AlarmAlarm
If the CP (conversational planner) receivesIf the CP (conversational planner) receives
information that the driver is about to fall asleepinformation that the driver is about to fall asleep
an alarm system is activated.an alarm system is activated.
MicrophoneMicrophone
For picking up words and separateFor picking up words and separate
them by some internally used softwarethem by some internally used software
for conversation.for conversation.
22. Working ComponentsWorking Components
(contd…)(contd…)
CameraCamera
This will track the lip movements of theThis will track the lip movements of the
driver.driver.
Used to improve the accuracy of theUsed to improve the accuracy of the
speech recognition.speech recognition.
23. ..
Showing the dashboard of the car where the whole artificial system is generallyShowing the dashboard of the car where the whole artificial system is generally
attached.attached.
24. Steps Involved in TrackingSteps Involved in Tracking
Automatically initialize lips and eyes usingAutomatically initialize lips and eyes using
color predicates and connectedcolor predicates and connected
components.components.
Track lip corners using dark line betweenTrack lip corners using dark line between
lips and color predicate even throughlips and color predicate even through
large mouth movement like yawning.large mouth movement like yawning.
25. Construct a bounding box of the head.Construct a bounding box of the head.
Determine rotation using distancesDetermine rotation using distances
between eye and lip feature points andbetween eye and lip feature points and
sides of the face.sides of the face.
Determine eye blinking and eye closingDetermine eye blinking and eye closing
using the number and intensity of pixels inusing the number and intensity of pixels in
the eye region.the eye region.
Determine driver vigilance level using allDetermine driver vigilance level using all
acquired information.acquired information.
26. DetectingDetecting Driver VigilanceDriver Vigilance
Aiming a single camera at a head of the driver.Aiming a single camera at a head of the driver.
Detecting frequency of up and down nodding and left toDetecting frequency of up and down nodding and left to
right rotations of the head within a selected time periodright rotations of the head within a selected time period
with the camera.with the camera.
Determining frequency of eye blinking and eye closing.Determining frequency of eye blinking and eye closing.
Determining frequency of yawning of the driver within theDetermining frequency of yawning of the driver within the
selected time period with the cameraselected time period with the camera
Generating an alarm signal in real time if the frequencyGenerating an alarm signal in real time if the frequency
value of the up and down nodding, the left to rightvalue of the up and down nodding, the left to right
rotations, the eye blinking, the eye closings, the yawningrotations, the eye blinking, the eye closings, the yawning
exceeds a selected threshold value.exceeds a selected threshold value.
27. AdvantagesAdvantages
It is broadly used to prevent accident.It is broadly used to prevent accident.
Artificial component establishes interfaceArtificial component establishes interface
with other drivers very easily.with other drivers very easily.
If the driver gets a heart attack or drunk , itIf the driver gets a heart attack or drunk , it
will send signals to vehicles nearby aboutwill send signals to vehicles nearby about
this so driver there become alert.this so driver there become alert.
29. ApplicationsApplications
Interface with Neighboring CarsInterface with Neighboring Cars --Determines if a driver presents aDetermines if a driver presents a
high safety risk for ex. falling asleep, tired, inexperienced or underhigh safety risk for ex. falling asleep, tired, inexperienced or under
the influence of alcohol and signals the cars nearby to be careful ofthe influence of alcohol and signals the cars nearby to be careful of
the driver.the driver.
Medical ApplicationMedical Application -The system can monitor a driver and detect if-The system can monitor a driver and detect if
they are sick ,for ex. having a stroke or heart attack.they are sick ,for ex. having a stroke or heart attack.
In any problem it alerts the vehicles near by , so the driver there canIn any problem it alerts the vehicles near by , so the driver there can
become alert.become alert.
Opens and closes the doors and windows of the car automatically.Opens and closes the doors and windows of the car automatically.
It is also used for the entertainment.It is also used for the entertainment.
Also used in cabins in airplanes, trains, boats etcAlso used in cabins in airplanes, trains, boats etc
30. Future ImplementationFuture Implementation
Will provide us with shortest time routingWill provide us with shortest time routing
based on road conditions changingbased on road conditions changing
because of weather and traffic, informationbecause of weather and traffic, information
about the cars on the route, destinationabout the cars on the route, destination
requirement (as-flight has been delayedrequirement (as-flight has been delayed
etc)etc)
31. ConclusionConclusion
Method for monitoring driver alertnessMethod for monitoring driver alertness
Sufficient time to avert an accident.Sufficient time to avert an accident.
Successful implementation of ArtificialSuccessful implementation of Artificial
passenger would allow use of variouspassenger would allow use of various
services in car like reading emails,services in car like reading emails,
navigation, downloading music files,navigation, downloading music files,
voice games etc without compromisingvoice games etc without compromising
on driver safetyon driver safety
32. BibliographyBibliography
L R Bhal et al. “Performance of the IBML R Bhal et al. “Performance of the IBM
speech recognition systemspeech recognition system
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