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.
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.
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.
The document discusses research into developing computers that can interact with humans more naturally by perceiving emotions and sensory inputs like humans. Specifically, it discusses:
1) The BLUE EYES technology which aims to give computers human-like perceptual and sensory abilities to understand facial expressions and emotional states.
2) An emotion mouse which measures physiological signals through a mouse to determine a user's emotional state and build a personalized model to help computers adapt to individual users.
3) Prior research linking facial expressions, physiological measurements like galvanic skin response and temperature, and emotional states which provide a framework for the emotion mouse research.
The document discusses Blue Eyes technology, which aims to give computers human-like perceptual abilities such as sight, hearing, and touch. This would allow computers to better interact with and understand humans. The technology uses sensors to identify a user's actions, physical and emotional states. It analyzes this information to help the user or perform expected tasks. For example, a TV could turn on when detecting eye contact. The goal is to create devices with emotional intelligence that can recognize and respond to human emotions during interactions.
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.
This document summarizes research on using facial expressions and eye movements to control a computer without using a mouse. It describes a system that uses the nose as a pointer and blinking eyes for clicking. The system achieves an average precision of 76.1% and recall of 70.5% in recognizing facial expressions and eye movements. It also discusses other related works on using electrooculography sensors and eye tracking for human-computer interaction 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.
The document discusses the Blue Eyes technology, which aims to develop computers that can understand users' emotions, identity, and presence through techniques like facial recognition and speech recognition. The technology uses non-obtrusive sensing methods to gather physiological data from users to determine their emotional states. This would allow computers to interact more naturally with humans. Experimental results showed that measures of skin conductivity, heart rate, finger temperature, and mouse movements can reliably predict a user's emotional state. Future work aims to improve these techniques with smaller, less intrusive sensors.
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.
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.
The document discusses research into developing computers that can interact with humans more naturally by perceiving emotions and sensory inputs like humans. Specifically, it discusses:
1) The BLUE EYES technology which aims to give computers human-like perceptual and sensory abilities to understand facial expressions and emotional states.
2) An emotion mouse which measures physiological signals through a mouse to determine a user's emotional state and build a personalized model to help computers adapt to individual users.
3) Prior research linking facial expressions, physiological measurements like galvanic skin response and temperature, and emotional states which provide a framework for the emotion mouse research.
The document discusses Blue Eyes technology, which aims to give computers human-like perceptual abilities such as sight, hearing, and touch. This would allow computers to better interact with and understand humans. The technology uses sensors to identify a user's actions, physical and emotional states. It analyzes this information to help the user or perform expected tasks. For example, a TV could turn on when detecting eye contact. The goal is to create devices with emotional intelligence that can recognize and respond to human emotions during interactions.
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.
This document summarizes research on using facial expressions and eye movements to control a computer without using a mouse. It describes a system that uses the nose as a pointer and blinking eyes for clicking. The system achieves an average precision of 76.1% and recall of 70.5% in recognizing facial expressions and eye movements. It also discusses other related works on using electrooculography sensors and eye tracking for human-computer interaction 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.
The document discusses the Blue Eyes technology, which aims to develop computers that can understand users' emotions, identity, and presence through techniques like facial recognition and speech recognition. The technology uses non-obtrusive sensing methods to gather physiological data from users to determine their emotional states. This would allow computers to interact more naturally with humans. Experimental results showed that measures of skin conductivity, heart rate, finger temperature, and mouse movements can reliably predict a user's emotional state. Future work aims to improve these techniques with smaller, less intrusive sensors.
The document discusses Blue Eyes technology, which aims to give computers human-like perceptual abilities such as vision, hearing, and the ability to understand human emotions. It does this through technologies like facial recognition, speech recognition, and sensors that can detect physical and emotional states. The goal is to create computers that can interact more naturally with humans. The document outlines some of the key techniques researchers are exploring to develop affective computing, such as detecting facial expressions to identify emotions, using eye tracking to determine where a user is looking, and sensors in a mouse that can identify emotions through touch.
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 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.
This document summarizes research on the Blue Eyes technology, which aims to give computers human-like perceptual abilities. It discusses how Blue Eyes uses non-intrusive sensors like video cameras and microphones to identify a user's actions, physical state, emotions, and where they are looking. This information is analyzed to build a model of the user over time to help the computer adapt and create a more productive environment. The document also reviews related work on detecting emotions from facial expressions and touch input and explores using eye tracking for computer input.
Human Activity Recognition using Smartphone's sensor Pankaj Mishra
Human activity recognition plays significant role in medical field and in security system. In this project we have design a model which recognize a person’s activity based on Smartphone.
A 3- dimensional Smartphone sensor named accelerometer and gyroscope is used to collect time series signal, from which 26 features are generated in time and frequency domain. The activities are classified using 2 different dormant learning method i.e. k-nearest neighbor algorithm, decision tree algorithm.
The document describes Blue Eye technology, which aims to give computers perceptual abilities like human senses. It discusses using cameras and microphones to identify user actions and understand what they want through facial recognition and other cues. This would allow more natural human-computer interaction. Some potential applications mentioned include monitoring workers' health and safety, enhancing retail displays to track customer interest, and adaptive in-car interfaces. The technology could also be used in video games to provide individualized challenges to players.
Sixth Sense technology discovered by Pranav Mistry. It is a wearable gestural based device which integrates the two worlds, i.e Physical world and Digital world.
Sixth Sense Technology is a mini-projector coupled with a camera and a cellphone—which acts as the computer and connected to the Cloud, all the information stored on the web. Sixth Sense can also obey hand gestures. The camera recognizes objects around a person instantly, with the micro-projector overlaying the information on any surface, including the object itself or hand. Also can access or manipulate the information using fingers. make a call by Extend hand on front of the projector and numbers will appear for to click. know the time by Draw a circle on wrist and a watch will appear. take a photo by Just make a square with fingers, highlighting what want to frame, and the system will make the photo—which can later organize with the others using own hands over the air.and The device has a huge number of applications , it is portable and easily to carry as can wear it in neck.
The drawing application lets user draw on any surface by observing the movement of index finger. Mapping can also be done anywhere with the features of zooming in or zooming out. The camera also helps user to take pictures of the scene is viewing and later can arrange them on any surface. Some of the more practical uses are reading a newspaper. reading a newspaper and viewing videos instead of the photos in the paper. Or live sports updates while reading the newspaper.
The document describes Sixth Sense technology, a wearable gesture-based device that augments physical reality with digital information. It consists of a camera, projector, mirror, and mobile device. The camera tracks hand gestures and objects in view, sending data to the mobile device. The mobile device processes the data and searches the internet for relevant information. The projector then projects this digital information onto physical surfaces and objects, allowing users to interact seamlessly between the physical and digital worlds using natural hand gestures.
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 provides an overview of mind reading computer technology. It discusses how computational models of mind reading can infer mental states from facial signals using techniques like facial affect detection and emotional classification. The technology works by measuring blood volume and oxygen levels in the brain using functional near-infrared spectroscopy sensors. Current applications include predicting driver drowsiness or anger, controlling animations, and enabling silent web searches. While the technology shows promise, challenges remain in scaling the techniques for conversational speech recognition and addressing privacy and ethical implications.
Sixth Sense technology allows users to interact with digital information in the physical world using natural hand gestures. It consists of a camera, projector, mirror, and mobile device connected via Bluetooth. The camera tracks hand gestures marked by colored fingers caps and objects in view. The mobile device processes this data and the projector displays related digital information onto physical surfaces. This bridges the gap between physical and digital worlds by letting users access online data about physical objects or people in real-time through hand gestures alone.
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.
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 technology could be used for applications like emergency braking in cars to detect driver drowsiness or distraction. While it offers advantages like helping paralyzed patients, there are also disadvantages like potential privacy breaches if sensitive thoughts or information are extracted. The document concludes that more research is still needed before computers can reliably predict human behavior based on brain activity readings.
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 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.
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.
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 research into developing computers with human-like perceptual abilities through technologies like Blue Eyes. Blue Eyes uses sensors and computer vision to identify user actions and understand their physical and emotional states. It describes systems that use eye tracking, facial expression recognition, and physiological sensors to detect emotions. Applications discussed include speech recognition, visual attention monitoring, and developing interfaces that are more natural and reduce user fatigue.
The Blue Eyes technology developed by IBM aims to give computers human-like perceptual abilities such as facial recognition, emotion sensing, and the ability to react based on a user's emotional state. The technology uses cameras and microphones to identify facial expressions and physiological measurements that correspond to basic emotions. It was inspired by Paul Ekman's research correlating facial expressions and physiological responses. The goal of Blue Eyes technology is to allow for more natural human-computer interaction and help computers understand human emotions.
A Seminar Report On Blue Eyes Technology Submitted ByJennifer Daniel
This document is a seminar report submitted by Reshma J. Shetty on the topic of Blue Eyes Technology. Blue Eyes Technology aims to give computers human-like perceptual abilities such as facial recognition, speech recognition, and the ability to understand human emotions and behaviors. The report describes several technologies used in Blue Eyes including Emotion Mouse, which can detect a user's emotions through their interactions with the mouse; MAGIC pointing, which uses eye tracking and gaze input; speech recognition; and SUITOR, which tracks a user's interests over time. The goal of Blue Eyes is to create computers that can interact with humans more naturally by sensing human presence, emotions, and needs.
Blue Eyes technology, developed by IBM since 1997, aims to give computers human-like abilities to understand and respond to human emotions and behaviors. It uses sensors like cameras and microphones to detect facial expressions and voice tones in order to assess a person's emotional state. The system processes this sensory data using software to determine how to naturally interact with and respond to the human. Blue Eyes technology seeks to develop machines that can perceive users in a similar way that humans perceive each other to facilitate more intuitive human-computer interaction.
The document discusses Blue Eyes technology, which aims to give computers human-like perceptual abilities such as vision, hearing, and the ability to understand human emotions. It does this through technologies like facial recognition, speech recognition, and sensors that can detect physical and emotional states. The goal is to create computers that can interact more naturally with humans. The document outlines some of the key techniques researchers are exploring to develop affective computing, such as detecting facial expressions to identify emotions, using eye tracking to determine where a user is looking, and sensors in a mouse that can identify emotions through touch.
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 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.
This document summarizes research on the Blue Eyes technology, which aims to give computers human-like perceptual abilities. It discusses how Blue Eyes uses non-intrusive sensors like video cameras and microphones to identify a user's actions, physical state, emotions, and where they are looking. This information is analyzed to build a model of the user over time to help the computer adapt and create a more productive environment. The document also reviews related work on detecting emotions from facial expressions and touch input and explores using eye tracking for computer input.
Human Activity Recognition using Smartphone's sensor Pankaj Mishra
Human activity recognition plays significant role in medical field and in security system. In this project we have design a model which recognize a person’s activity based on Smartphone.
A 3- dimensional Smartphone sensor named accelerometer and gyroscope is used to collect time series signal, from which 26 features are generated in time and frequency domain. The activities are classified using 2 different dormant learning method i.e. k-nearest neighbor algorithm, decision tree algorithm.
The document describes Blue Eye technology, which aims to give computers perceptual abilities like human senses. It discusses using cameras and microphones to identify user actions and understand what they want through facial recognition and other cues. This would allow more natural human-computer interaction. Some potential applications mentioned include monitoring workers' health and safety, enhancing retail displays to track customer interest, and adaptive in-car interfaces. The technology could also be used in video games to provide individualized challenges to players.
Sixth Sense technology discovered by Pranav Mistry. It is a wearable gestural based device which integrates the two worlds, i.e Physical world and Digital world.
Sixth Sense Technology is a mini-projector coupled with a camera and a cellphone—which acts as the computer and connected to the Cloud, all the information stored on the web. Sixth Sense can also obey hand gestures. The camera recognizes objects around a person instantly, with the micro-projector overlaying the information on any surface, including the object itself or hand. Also can access or manipulate the information using fingers. make a call by Extend hand on front of the projector and numbers will appear for to click. know the time by Draw a circle on wrist and a watch will appear. take a photo by Just make a square with fingers, highlighting what want to frame, and the system will make the photo—which can later organize with the others using own hands over the air.and The device has a huge number of applications , it is portable and easily to carry as can wear it in neck.
The drawing application lets user draw on any surface by observing the movement of index finger. Mapping can also be done anywhere with the features of zooming in or zooming out. The camera also helps user to take pictures of the scene is viewing and later can arrange them on any surface. Some of the more practical uses are reading a newspaper. reading a newspaper and viewing videos instead of the photos in the paper. Or live sports updates while reading the newspaper.
The document describes Sixth Sense technology, a wearable gesture-based device that augments physical reality with digital information. It consists of a camera, projector, mirror, and mobile device. The camera tracks hand gestures and objects in view, sending data to the mobile device. The mobile device processes the data and searches the internet for relevant information. The projector then projects this digital information onto physical surfaces and objects, allowing users to interact seamlessly between the physical and digital worlds using natural hand gestures.
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 provides an overview of mind reading computer technology. It discusses how computational models of mind reading can infer mental states from facial signals using techniques like facial affect detection and emotional classification. The technology works by measuring blood volume and oxygen levels in the brain using functional near-infrared spectroscopy sensors. Current applications include predicting driver drowsiness or anger, controlling animations, and enabling silent web searches. While the technology shows promise, challenges remain in scaling the techniques for conversational speech recognition and addressing privacy and ethical implications.
Sixth Sense technology allows users to interact with digital information in the physical world using natural hand gestures. It consists of a camera, projector, mirror, and mobile device connected via Bluetooth. The camera tracks hand gestures marked by colored fingers caps and objects in view. The mobile device processes this data and the projector displays related digital information onto physical surfaces. This bridges the gap between physical and digital worlds by letting users access online data about physical objects or people in real-time through hand gestures alone.
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.
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 technology could be used for applications like emergency braking in cars to detect driver drowsiness or distraction. While it offers advantages like helping paralyzed patients, there are also disadvantages like potential privacy breaches if sensitive thoughts or information are extracted. The document concludes that more research is still needed before computers can reliably predict human behavior based on brain activity readings.
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 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.
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.
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 research into developing computers with human-like perceptual abilities through technologies like Blue Eyes. Blue Eyes uses sensors and computer vision to identify user actions and understand their physical and emotional states. It describes systems that use eye tracking, facial expression recognition, and physiological sensors to detect emotions. Applications discussed include speech recognition, visual attention monitoring, and developing interfaces that are more natural and reduce user fatigue.
The Blue Eyes technology developed by IBM aims to give computers human-like perceptual abilities such as facial recognition, emotion sensing, and the ability to react based on a user's emotional state. The technology uses cameras and microphones to identify facial expressions and physiological measurements that correspond to basic emotions. It was inspired by Paul Ekman's research correlating facial expressions and physiological responses. The goal of Blue Eyes technology is to allow for more natural human-computer interaction and help computers understand human emotions.
A Seminar Report On Blue Eyes Technology Submitted ByJennifer Daniel
This document is a seminar report submitted by Reshma J. Shetty on the topic of Blue Eyes Technology. Blue Eyes Technology aims to give computers human-like perceptual abilities such as facial recognition, speech recognition, and the ability to understand human emotions and behaviors. The report describes several technologies used in Blue Eyes including Emotion Mouse, which can detect a user's emotions through their interactions with the mouse; MAGIC pointing, which uses eye tracking and gaze input; speech recognition; and SUITOR, which tracks a user's interests over time. The goal of Blue Eyes is to create computers that can interact with humans more naturally by sensing human presence, emotions, and needs.
Blue Eyes technology, developed by IBM since 1997, aims to give computers human-like abilities to understand and respond to human emotions and behaviors. It uses sensors like cameras and microphones to detect facial expressions and voice tones in order to assess a person's emotional state. The system processes this sensory data using software to determine how to naturally interact with and respond to the human. Blue Eyes technology seeks to develop machines that can perceive users in a similar way that humans perceive each other to facilitate more intuitive human-computer interaction.
This document discusses "Blue Eyes" technology, which aims to give computers human-like perceptual abilities such as sight, hearing, and touch. It does this through technologies like facial recognition, speech recognition, eye tracking, and sensors that can detect a user's physical and emotional states. The goal is for computers to be able to understand users and interact with them more naturally. One example given is a television that could turn on when detecting the user's eye contact. The document focuses on the hardware, software, and interconnection of parts involved in Blue Eyes technology. It provides examples of how technologies like affect detection and eye tracking could allow computers to determine a user's emotions and respond appropriately.
This document discusses "Blue Eyes" technology, which aims to give computers human-like perceptual abilities such as sight, hearing, and touch. It does this through technologies like facial recognition, speech recognition, eye tracking, and sensors that can detect a user's physical and emotional states. The goal is for computers to be able to understand users and interact with them more naturally. One example given is a television that could turn on when detecting the user's eye contact. The document focuses on the hardware, software, and interconnected parts that would be involved in creating computers with blue eyes technology.
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.
The document describes two techniques for combining eye gaze tracking with manual input to select targets on a computer screen:
1) The "liberal" technique warps the cursor to every new object the user looks at, allowing for quick selection.
2) The "conservative" technique only warps the cursor after a manual input device is actuated, placing the cursor at the edge of the gaze area closest to the manual input vector for less directional uncertainty.
An experiment found the MAGIC pointing techniques reduced physical effort compared to manual pointing alone and provided greater accuracy than gaze pointing alone. The techniques showed potential for faster speed than manual pointing.
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.
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.
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 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.
This document describes research into developing more natural human-computer interaction techniques through the integration of eye tracking and manual input. It discusses two proposed techniques called MAGIC (Manual And Gaze Input Cascaded) pointing that aim to leverage eye gaze to reduce physical effort in manual pointing tasks. A liberal MAGIC technique warps the cursor to every new object looked at, while a conservative technique only warps the cursor after manual input actuation and biases it towards the gazed-at object. A pilot study found these techniques could offer advantages over traditional gaze-only or manual-only pointing in terms of accuracy, effort and speed. The document also discusses limitations of traditional gaze pointing and the motivation for developing a more integrated eye-manual interaction approach.
Blue eyes technology aims at creating a computer that has the abilities to understand the perceptual powers of the human being by recognizing their facial expressions and react according to them. A blue eye technology is planned for making computational machines that have tangible capacities like those of humans
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 discusses mind reading computers that can summarize a person's mental state by analyzing facial expressions and head gestures using video cameras and machine learning. It can identify features like facial expressions that indicate emotions, thoughts, and mental workload. The technology works by tracking facial feature points and modeling the relationship between expressions and mental states over time. Potential applications include monitoring human interactions, detecting driver states, and developing assistive technologies like mind-controlled wheelchairs. Issues involve ensuring reliability and addressing ethical concerns around predicting future behaviors.
Drawing inspiration from psychology, computer vision, and machine learning, researchers have developed mind-reading machines that can infer a person's mental state from facial expressions and body language in real time. The machines use video cameras and software to analyze 24 facial feature points and map expressions like smiles or eyebrow raises to mental states like interest or engagement. While early results are promising and applications could include monitoring driver alertness, many challenges remain around individual differences in expression and the ability to reliably predict human behavior from brain activity alone.
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.
Blue Eyes technology aims to create machines that have human-like perceptual and sensory abilities. It uses Bluetooth and eye tracking to understand a user's emotions, identify them, and interact as partners. The system includes a Data Acquisition Unit that collects sensor data and a Central System Unit that analyzes the data. It has applications in security, assistive technologies, and interactive devices. The technology aims to reduce human error and make human-computer interaction more natural.
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Blue eyes technology New Version 2017
1. BLUE EYES TECHNOLOGY
BLUE EYES TECHNOLOGY
The world of science cannot be measured in terms of development and progress. It has
now reached to the technology known as “Blue eyes technology” that can sense and control
human emotions and feelings through gadgets. The eyes, fingers, speech are the elements which
help to sense the emotion level of human body.
The basic idea behind this technology is to give the computer the human power. We all
have some perceptual abilities. That is we can understand each other’s feelings. For example we
can understand ones emotional state by analyzing his facial expression. If we add these
perceptual abilities of human to computers would enable computers to work together with human
beings as intimate partners.
The “BLUE EYES” technology aims at creating computational machines that have
perceptual and sensory ability like those of human beings. This paper implements a new
technique known as Emotion Sensory World of Blue eyes technology which identifies human
emotions (sad. happy. exalted or surprised) using image processing techniques by extracting eye
portion from the captured image which is then compared with stored images of data base.
I. INTRODUCTION
Imagine yourself in a world where humans interact with computers. It has the ability to
gather information about you and interact with you through special techniques like facial
recognition, speech recognition, etc. It can even understand your emotions at the touch of the
mouse. It verifies your identity, feels your presents, and starts interacting with you .Human
cognition depends primarily on the ability to perceive, interpret, and integrate audio-visuals and
sensoring information.
Adding extraordinary perceptual abilities to computers would enable computers to work
together with human beings as intimate partners. Researchers are attempting to add more
capabilities to computers that will allow them to interact like humans, recognize human presents,
talk, listen, or even guess their feelings. The BLUE EYES technology aims at creating
2. BLUE EYES TECHNOLOGY
computational machines that have perceptual and sensory ability like those of human beings. It
uses non-obtrusive sensing method, employing most modern video cameras and microphones to
identify the user’s actions through the use of imparted sensory abilities.
The BLUE EYES technology aims at creating computational machines that have perceptual
and sensory ability like those of human beings. It uses non-obtrusive sensing method, employing
most modern video cameras and microphones to identifies the users actions through the use of
imparted sensory abilities.
Blue Eyes system consists of a mobile measuring device and a central and a central analytical
system. The mobile device is integrated with Bluetooth module providing wireless interface
between sensors worn by the operator and the central unit. ID cards assigned to each of the
operators and adequate user profiles on the central unit side provide necessary data
personalization so the system consists of
Data Acquisition Unit
Data Acquisition Unit is a mobile part of the Blue eyes system. Its main task is to fetch the
physiological data from the sensor and send it to the central system to be processed. Data
Acquisition Unit are to maintain Bluetooth connections to get information from sensor and
sending it
Central System Unit
CSU maintains other side of the Blue tooth connection, buffers incoming sensor data, performs
online data analysis records conclusion for further exploration and provides visualization
interface.
EMOTION COMPUTING
Rosalind Picard (1997) describes why emotions are important to the computing community.
There are two aspects of affective computing: giving the computer the ability to detect emotions
and giving the computer the ability to express emotions. Not only are emotions crucial for
rational decision making, but emotion detection is an important step to an adaptive computer
system. An important element of incorporating emotion into computing is for productivity for a
3. BLUE EYES TECHNOLOGY
computer user. A study (Dryer & Horowitz, 1997) has shown that people with personalities that
are similar or complement each other collaborate well. For these reasons, it is important to
develop computers which can work well with its user.
THEORY
Based on Paul Ekman’s facial expression work, we see a correlation between a person’s
emotional state and a person’s physiological measurements. Selected works from Ekman and
others on measuring facial behaviors describe Ekman’s Facial Action Coding System. One of his
experiments involved participants attached to devices to record certain measurements including
pulse, galvanic skin response (GSR), temperature, somatic movement and blood pressure. He
then recorded the measurements as the participants were instructed to mimic facial expressions
which corresponded to the six basic emotions. He defined the six basic emotions as anger, fear,
sadness, disgust, joy and surprise.
RESULT
The data for each subject consisted of scores for four physiological assessments [GSA, GSR,
pulse, and skin temperature, for each of the six emotions (anger, disgust, fear, happiness,
sadness, and surprise)] across the five minute baseline and test sessions. GSA data was sampled
80 times per second, GSR and temperature were reported approximately 3-4 times per second
and pulse was recorded as a beat was detected, approximately 1time per second. To account for
individual variance in physiology, we calculated the difference between the baseline and test
scores. Scores that differed by more than one and a half standard deviations from the mean were
treated as missing. By this criterion, twelve score were removed from the analysis. The results
show the theory behind the Emotion mouse work is fundamentally sound.
4. BLUE EYES TECHNOLOGY
TYPES OF EMOTION SENSORS
For Hand
Emotion Mouse
One goal of human computer interaction (HCI) is to make an adaptive, smart computer system.
This type of project could possibly include gesture recognition, facial recognition, eye tracking,
speech recognition, etc.
Emotional Mouse
Another non-invasive way to obtain information about a person is through touch. People use
their computers to obtain, store and manipulate data using their computer. In order to start
creating smart computers, the computer must start gaining information about the user. Our
proposed method for gaining user information through touch is via a computer input device, the
mouse.
System Configuration for Emotional Mouse
From the physiological data obtained from the user, an emotional state may be determined which
would then be related to the task the user is currently doing on the computer. Over a period of
time, a user model will be built in order to gain a sense of the user's personality. The scope of the
project is to have the computer adapt to the user in order to create a better working environment
where the user is more productive.
5. BLUE EYES TECHNOLOGY
Sentic Mouse
The Sentic Mouse is an experiment inspired by the work of Peter J. Lang, Ward Winton, Lois
Putnam, Robert Kraus and Dr. Manfred Clynes, that provides a first step toward designing a tool
to measure a subject's emotional valence response. The goal of the experiment is to begin to
apply quantifying values to emotions and ultimately to build a predictive model for emotion
theory. Peter J. Lang and others showed subjects a series of pictures and asked them to self-rate
their emotional response. Dr. Manfred Clynes conducted a series of sentic experiments,
gathering data from the vertical and horizontal components of Sentic mouse finger pressure.
Under the auspices of the Affective Computing research group, these three models were applied
to the interaction between humans and computers. Using a computer to provide the affective
stimulus to the human subject, an experiment was conducted which combined all three emotion
studies. An ordinary computer mouse was augmented with a pressure sensor to collect sentic
data as in Dr. Clynes experiments. The three measured results: sentic data, heart rate, and self-
assessment, were then readily compared against each other as well as against the theoretically
predicted results to assess the subject's emotional valence for each slide.
6. BLUE EYES TECHNOLOGY
For Eyes
Expression Glasses
Expression Glasses provide a wearable "appliance-based" alternative to general-purpose machine
vision face recognition systems. The glasses sense facial muscle movements, and use pattern
recognition to identify meaningful expressions such as confusion or interest.
Expression Glasses
A prototype of the glasses has been built and evaluated. The prototype uses piezoelectric sensors
hidden in advisor extension to a pair of glasses, providing for compactness, user control, and
anonymity.
Manual and Gaze Input Cascaded (Magic) Pointing
We propose an alternative approach, dubbed MAGIC (Manual And Gaze Input C) as coded
pointing. With such an approach, pointing appears to the user to be a manual task, used for fine
manipulation and selection. However, a large portion of the cursor movement is eliminated by
warping the cursor to the eye gaze area, which encompasses the target. Two specific MAGIC
pointing techniques, one conservative and one liberal, were designed, analyzed, and
implemented with an eye tracker we developed. They were then tested in a pilot study. The user
can then take control of the cursor by hand near (or on) the target, or ignore it and search for the
next target. Operationally, a new object is defined by sufficient distance (e.g., 120 pixels) from
the current cursor position, unless the cursor is in a controlled motion by hand.
Since there is a 120-pixel threshold, the cursor will not be warped when the user does
continuous manipulation such as drawing. Note that this MAGIC pointing technique is different
from traditional eye gaze control, where the user uses his eye to point at targets either without a
7. BLUE EYES TECHNOLOGY
cursor or with a cursor that constantly follows the jittery eye gaze motion. Once the manual input
device has been actuated, the cursor is warped to the gaze area reported by the eye tracker. This
area should be on or in the vicinity of the target.
Both the liberal and the conservative MAGIC pointing techniques offer the following potential
advantages
1. Reduction of manual stress and fatigue, since the cross screen long-distance cursor
movement is eliminated from manual control.
2. Practical accuracy level. In comparison to traditional pure gaze pointing whose
accuracy is fundamentally limited by the nature of eye movement, the MAGIC pointing
techniques let the hand complete the pointing task, so they can be as accurate as any other
manual input techniques.
3. A more natural mental model for the user. The user does not have to be aware of the
role of the eye gaze.
4. Speed. Since the need for large magnitude pointing operations is less than with pure
manual cursor control, it is possible that MAGIC pointing will be faster than pure manual
pointing.
The Ibm Almaden Eye Tracker
Since the goal of this work is to explore MAGIC pointing as a user interface technique,
When the light source is placed on-axis with the camera optical axis, the camera is able to
detect the light reflected from the interior of the eye, and the image of the pupil appears bright .
This effect is often seen as the red-eye in flash photographs when the flash is close to the camera
lens. Bright (left) and dark (right) pupil images resulting from on- and off-axis illumination. The
glints, or corneal reflections, from the on- and off-axis light sources can be easily identified as
the bright points in the iris.
The Almaden system uses two near infrared (IR) time multiplexed light sources,
composed of two sets of IR LED’s, which were synchronized with the camera frame rate. One
light source is placed very close to the camera’s optical axis and is synchronized with the even
frames. Odd frames are synchronized with the second light source, positioned off axis. The two
light sources are calibrated to provide approximately equivalent whole-scene illumination.
8. BLUE EYES TECHNOLOGY
For Voice
Artificial Intelligent Speech Recognition
It is important to consider the environment in which the speech recognition system has to work.
The grammar used by the speaker and accepted by the system, noise level, noise type, position of
the microphone, and speed and manner of the user’s speech are some factors that may affect the
quality of speech recognition. The user speaks to the computer through a microphone, which, in
used; a simple system may contain a minimum of three filters.
The more the number of filters used, the higher the probability of accurate recognition.
Presently, switched capacitor digital filters are used because these can be custom-built in
integrated circuit form. These are smaller and cheaper than active filters using operational
amplifiers. The filter output is then fed to the ADC to translate the analogue signal into digital
word. The ADC samples the filter outputs many times a second. Each sample represents different
amplitude of the signal . Each value is then converted to a binary number proportional to the
amplitude of the sample. A central processor unit (CPU) controls the input circuits that are fed
by the ADCS. A large RAM (random access memory) stores all the digital values in a buffer
area. This digital information, representing the spoken word, is now accessed by the CPU to
process it further. The normal speech has a frequency range of 200 Hz to 7 kHz. Recognizing a
telephone call is more difficult as it has bandwidth limitation of 300 Hz to3.3 kHz.
THE SIMPLE USER INTEREST TRACKER (SUITOR)
Computers would have been much more powerful, had they gained perceptual and
sensory abilities of the living beings on the earth. What needs to be developed is an intimate
relationship between the computer and the humans. And the Simple User Interest Tracker
(SUITOR) is a revolutionary approach in this direction. By observing the Webpage at netizen is
browsing, the SUITOR can help by fetching more information at his desktop.
By simply noticing where the user’s eyes focus on the computer screen, the SUITOR can
be more precise in determining his topic of interest. It can even deliver relevant information to a
handheld device. IBM's Blue Eyes research project began with a simple question, according to
9. BLUE EYES TECHNOLOGY
Myron Flickner, a manager in Almaden's USER group: Can we exploit nonverbal cues to
create more effective user interfaces? One such cue is gaze the direction in which a person is
looking.
Flickner and his colleagues have created some new techniques for tracking a person's
eyes and have incorporated this gaze-tracking technology into two prototypes. One, called
SUITOR (Simple User Interest Tracker), fills a scrolling ticker on a computer screen with
information related to the user's current task. SUITOR knows where you are looking, what
applications you are running, and what Web pages you may be browsing. "If I'm reading a Web
page about IBM, for instance," says Paul Maglio, the Almaden cognitive scientist who invented
SUITOR, "the system presents the latest stock price or business news stories that could affect
IBM.
APPLICATIONS
The following are the applications of the Blue Eyes System.
1. At power point control rooms.
2. At Captain Bridges
3. At Flight Control Centers
4. Professional Drivers
10. BLUE EYES TECHNOLOGY
CONCLUSION
The Blue Eyes system is developed because of the need for a real-time monitoring system for a
human operator. The approach is innovative since it helps supervise the operator not the process,
as it is in presently available solutions. We hope the system in its commercial release will help
avoid potential threats resulting from human errors, such as weariness, oversight, tiredness or
temporal indisposition. The use of a miniature CMOS camera integrated into the eye movement
sensor will enable the system to calculate the point of gaze and observe what the operator is
actually looking at. Introducing voice recognition algorithm will facilitate the communication
between the operator and the central system and simplify authorization process.
PREPARED BY
D.R BALAMURUGAN
(II YEAR CSE)
M.N.M. JAIN ENGINEERING COLLEGE CHENNAI.