18-02-2015, 07:06 PM
PPt for cement replaced by silica fumes and flyash
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ieee paper on mind reading computer
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PPt for cement replaced by silica fumes and flyash
27-03-2017, 04:55 PM
The Cambridge University Computer Laboratory team, which has drawn on psychology, computer vision and automatic learning, has developed mind-reading machines - computers that implement a computer model of mental reading to infer mental states Of people from their facial signals. The goal is to improve interaction between humans and computers through empathic responses, improve user productivity and allow applications to initiate interactions with and on behalf of the user, without waiting for the explicit input of that user. There are difficult challenges:
Using a digital video camera, the mental-reading ppt system analyzes a person's facial expressions in real time and infers the person's underlying mental state, whether he agrees or disagrees, is interested or bored, thinking or confused. Previous knowledge of how particular mental states are expressed in the face is combined with the analysis of facial expressions and head gestures occurring in real time. The model represents them in different granularities, beginning with the movements of the face and head and constructing them in time and space to form a clearer model of what mental state is being represented. Nevenvision software identifies 24 feature points on the face and tracks them in real time. Movement, shape and color are analyzed to identify gestures such as a smile or raised eyebrows. Combinations of these occurring over time indicate mental states. For example, a combination of a nod, a smile and raised eyebrows could spell interest. The relationship between observation of head and face screens and corresponding occult mental states over time is modeled using dynamic Bayesian networks.
The computer mind-reading system presents information about your mental state as easily as a keyboard and mouse present text and commands. Imagine a future in which we are surrounded by mobile phones, cars and online services that can read our minds and react to our moods. How would our use of technology and our lives change? We are working with a major automaker to implement this system in cars to detect the driver's mental states, such as drowsiness, distraction and anger. Current projects in Cambridge are considering other inputs such as body posture and gestures to improve inference. We can use the same models to control the animation of cartoon avatars. We are also studying the use of mind-reading to support online shopping and learning systems. The mental reading computer system can also be used to monitor and suggest improvements in human-human interaction. The Affective Computing Group of the MIT Media Lab is developing an emotional-social intelligence prosthesis that explores new technologies to enhance and enhance people's social interactions and communication skills.
Using a digital video camera, the mental-reading ppt system analyzes a person's facial expressions in real time and infers the person's underlying mental state, whether he agrees or disagrees, is interested or bored, thinking or confused. Previous knowledge of how particular mental states are expressed in the face is combined with the analysis of facial expressions and head gestures occurring in real time. The model represents them in different granularities, beginning with the movements of the face and head and constructing them in time and space to form a clearer model of what mental state is being represented. Nevenvision software identifies 24 feature points on the face and tracks them in real time. Movement, shape and color are analyzed to identify gestures such as a smile or raised eyebrows. Combinations of these occurring over time indicate mental states. For example, a combination of a nod, a smile and raised eyebrows could spell interest. The relationship between observation of head and face screens and corresponding occult mental states over time is modeled using dynamic Bayesian networks.
The computer mind-reading system presents information about your mental state as easily as a keyboard and mouse present text and commands. Imagine a future in which we are surrounded by mobile phones, cars and online services that can read our minds and react to our moods. How would our use of technology and our lives change? We are working with a major automaker to implement this system in cars to detect the driver's mental states, such as drowsiness, distraction and anger. Current projects in Cambridge are considering other inputs such as body posture and gestures to improve inference. We can use the same models to control the animation of cartoon avatars. We are also studying the use of mind-reading to support online shopping and learning systems. The mental reading computer system can also be used to monitor and suggest improvements in human-human interaction. The Affective Computing Group of the MIT Media Lab is developing an emotional-social intelligence prosthesis that explores new technologies to enhance and enhance people's social interactions and communication skills.
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