Abstract: Remote computing analysis for cognitive state data metrics is performed. Cognitive state data from a plurality of people is collected as they interact with a rendering. The cognitive state data includes video facial data collected on one or more local devices from the plurality of people. Information is uploaded to a remote server. The information includes the cognitive state data. A facial expression metric based on a plurality of image classifiers is calculated for each individual within the plurality of people. Cognitive state information is generated for each individual, based on the facial expression metric for each individual. The cognitive state information for each individual within the plurality of people who interacted with the rendering is aggregated. The aggregation is based on the facial expression metric for each individual. The cognitive state information that was aggregated is displayed on at least one of the one or more local devices.

Abstract: Mental state data is collected as a person interacts with a game played on a machine. The mental state data includes facial data, where the facial data includes facial regions or facial landmarks. The mental state data can include physiological data and actigraphy data. The mental state data is analyzed to produce mental state information. Mental state data and/or mental state information can be shared across a social network or a gaming community. The affect of the person interacting with the game can be represented to the social network or gaming community in the form of an avatar. Recommendations based on the affect resulting from the analysis can be made to the person interacting with the game. Mental states are analyzed locally or via a web services. Based on the results of the analysis, the game with which the person is interacting is modified.

Abstract: Remote computing analysis for cognitive state data metrics is performed. Cognitive state data from a plurality of people is collected as they interact with a rendering. The cognitive state data includes video facial data collected on one or more local devices from the plurality of people. Information is uploaded to a remote server. The information includes the cognitive state data. A facial expression metric based on a plurality of image classifiers is calculated for each individual within the plurality of people. Cognitive state information is generated for each individual, based on the facial expression metric for each individual. The cognitive state information for each individual within the plurality of people who interacted with the rendering is aggregated. The aggregation is based on the facial expression metric for each individual. The cognitive state information that was aggregated is displayed on at least one of the one or more local devices.

Abstract: Distributed analysis for cognitive state metrics is performed. Data for an individual is captured into a computing device. The data provides information for evaluating a cognitive state of the individual. The data for the individual is uploaded to a web server. A cognitive state metric for the individual is calculated. The cognitive state metric is based on the data that was uploaded. Analysis from the web server is received by the computing device. The analysis is based on the data for the individual and the cognitive state metric for the individual. An output that describes a cognitive state of the individual is rendered at the computing device. The output is based on the analysis that was received. The cognitive states of other individuals are correlated to the cognitive state of the individual. Other sources of information are aggregated. The information is used to analyze the cognitive state of the individual.

Abstract: Image analysis is performed on collected data from a person who interacts with a rendering such as a website or video. The images are collected through video capture. Physiological data is captured from the images. Classifiers are used for analyzing images. Information is uploaded to a server and compared against a plurality of mental state event temporal signatures. Aggregated mental state information from other people who interact with the rendering is received, including video facial data analysis of the other people. The received information is displayed along with the rendering through a visual representation such as an avatar.

Abstract: Analysis of mental states is provided using web servers to enable data analysis. Data is captured for an individual where the data includes facial information and physiological information. Data that was captured for the individual is compared against a plurality of mental state event temporal signatures. Analysis is performed on a web service and the analysis is received. The mental states of other people are correlated to the mental state for the individual. Other sources of information are aggregated, where the information is used to analyze the mental state of the individual. Analysis of the mental state of the individual or group of individuals is rendered for display.

Abstract: Mental state data is collected as a person interacts with a game played on a machine. The mental state data includes facial data, where the facial data includes facial regions or facial landmarks. The mental state data can include physiological data and actigraphy data. The mental state data is analyzed to produce mental state information. Mental state data and/or mental state information can be shared across a social network or a gaming community. The affect of the person interacting with the game can be represented to the social network or gaming community in the form of an avatar. Recommendations based on the affect resulting from the analysis can be made to the person interacting with the game. Mental states are analyzed locally or via a web services. Based on the results of the analysis, the game with which the person is interacting is modified.

Abstract: Mental state data is collected as a person interacts with a game machine. Analysis is performed on this data and mental state information and affect are shared across a social network. The affect of a person can be represented to the social network or gaming community in the form of an avatar. Recommendations can be based on the affect of the person. Mental states can be analyzed by web services which may, in turn, modify the game.

Abstract: Analysis of mental states is provided to enable data analysis pertaining to video recommendation based on affect. Video response may be evaluated based on viewing and sampling various videos. Data is captured for viewers of a video where the data includes facial information and/or physiological data. Facial and physiological information may be gathered for a group of viewers. In some embodiments, demographics information is collected and used as a criterion for visualization of affect responses to videos. In some embodiments, data captured from an individual viewer or group of viewers is used to rank videos.

Abstract: A biosensor is described which can obtain physiological data from an individual. The biosensor may collect electrodermal activity, skin temperature, and other information. The biosensor may be attached to the body through the use of a garment which may be fastened in multiple locations on the human body. The biosensor has replaceable electrodes which may be interchanged. The electrodes contact the body without having any wires or leads external to the sensor.

Abstract: A method for accurate pain analysis using a combination of electrodermal data and self-report information is described. To obtain pain measurements, electrodermal activity is collected and analyzed. One or more biosensors obtain electrodermal data from a person. The electrodermal data is filtered to produce skin conductance values. The skin conductance values are associated with self-report pain information from a person over multiple time regions. The associating allows electrodermal activity to be related to self-reported pain (SRP) data to derive an objective pain measurement.

Abstract: A biosensor is described which can obtain physiological data from an individual. The biosensor may collect electrodermal activity, skin temperature, and other information. The biosensor may be attached to the body through the use of a garment which may be fastened in multiple locations on the human body. The biosensor has replaceable electrodes which may be interchanged. The electrodes contact the body without having any wires or leads external to the sensor.

Abstract: A biosensor is described which can obtain physiological data from an individual. The biosensor may collect electrodermal activity, skin temperature, and other information. The biosensor may be attached to the body through the use of a garment which may be fastened in multiple locations on the human body. The biosensor has replaceable electrodes which may be interchanged. The electrodes contact the body without having any wires or leads external to the sensor.

Abstract: Computer-implemented techniques are disclosed for analyzing physiology data captured by biosensors and for providing alerts based on the biosensor data. The biosensor data is captured non-invasively and is analyzed to identify atypical brain activity that can result from illness, injury, disease, and seizures. The biosensor data can include electrodermal activity, skin temperature, and accelerometer data. The data is sent to a web service for analysis, and to determine whether an alert should be generated. The alerts, based on the biosensor data captured from the individual, are received from the web service. An output related to physiology is rendered based on an alert being received from the web service.

Abstract: Mental state analysis may be performed using a wearable-camera device. Embodiments provide a glasses mounted camera or an ear-mounted device comprising a camera to collect mental state data of an individual being viewed. Information about the mental states of the individual being viewed can be fed back to the individual wearing the wearable-camera device via visual, verbal, or tonal indicators. Various emotional indicators can be provided to the wearer of the device. Analysis of the mental state data of the person being observed can be performed on the wearable-camera device, on a mobile platform, on a server, or a combination thereof. Shared and aggregated mental state information may be shared via social networking. A geographical representation of the mental state information may be rendered.

Abstract: Analysis of mental states is performed in order to project sales. Projections may be based on effectiveness of an advertisement, a product, or a service. Effectiveness may be based on various objectives including entertainment, education, awareness, persuasion, startling, and drive to action. Data, including facial information and physiological information, is captured for an individual viewer or group of viewers. In some embodiments, demographics information is also collected and used as a criterion for rendering the mental states of the viewers in a graphical format. In some embodiments, data captured from an individual viewer or group of viewers is used to optimize sales projections.

Abstract: A biosensor is described which can obtain physiological data from an individual. The biosensor may collect electrodermal activity, skin temperature, and other information. The biosensor may be attached to the body through the use of a garment which may be fastened in multiple locations on the human body. The biosensor includes compensation for electrodermal activity measurements based on the amount of pressure applied to the electrodes that are in contact with the skin. As pressure is increased the electrodermal activity values typically increase. By compensating for the influence that pressure changes have on electrodermal activity, more accurate analysis of physiology and therefore mental state analysis may be performed.

Abstract: A biosensor is described which can obtain physiological data from an individual. The biosensor may collect electrodermal activity, skin temperature, and other information. The biosensor may be attached to the body through the use of a garment which may be fastened in multiple locations on the human body. The biosensor includes compensation for electrodermal activity measurements based on the amount of pressure applied to the electrodes that are in contact with the skin. As pressure is increased the electrodermal activity values typically increase. By compensating for the influence that pressure changes have on electrodermal activity, more accurate analysis of physiology and therefore mental state analysis may be performed.

Abstract: Facial information is collected on a person and used to analyze affect. Facial information can be used to determine a baseline face which characterizes the default expression that a person has on their face. Deviations from this baseline face can be used to evaluate affect and further be used to infer mental states. Facial images can be automatically scored for various expressions including smiles, frowns, and squints. Image descriptors and image classifiers can be used during this baseline face analysis.

Abstract: Analysis of mental states is provided to enable data analysis pertaining to videos. A video is embedded within a web-enabled interface which enables collecting mental state data. This web-enabled interface is then distributed and information on mental states is collected. Data is captured from viewers of the video where the data includes facial information and/or physiological data. Facial and physiological information may be gathered for a group of viewers. In some embodiments, demographics information is collected and used as a criterion for visualization of affect responses to videos.