Abstract: Systems and methods for assessing human reaction to a stimulus using computer vision are described herein. A computer can compare a first facial image with a second facial image to identify a region of a subject's face where an expressional repositioning is evident. Based on the expressional repositioning, the computer can determine an emotion exhibited by the subject.

Abstract: Systems and techniques using observed emotional data are described herein. An audio stream of a subject corresponding in time to a sequence of visual observations of the subject can be received. A transcript of speech uttered in the audio stream can be produced. A meaning of a string in the transcript can be determined. The sequence of visual observations that correspond to speech that produced the string can be received. An emotional state of the subject can be determined based on the sequence of visual observations. A correlation value can be calculated for the string by comparing the meaning and the emotional state.

Abstract: Various systems and techniques using facial coding for emotional interaction analysis are described herein. Machine-readable facial observations of a subject while the subject is exposed to a stimulus can be received. The machine readable observations can include a stimulus synchronization element. An emotional component of an emotional state of the subject can be determined based on the facial observations. The determination can include assigning a numerical weight to the emotional component. An emotional state to the stimulus synchronization event can be assigned based on the emotional component.

Abstract: Systems and techniques using observed emotional data are described herein. A sequence of visual observations of a subject can be received during execution of an application. An emotional state of the subject can be determined based on the sequence of visual observations. Execution of the application can be modified from a baseline execution using the emotional state.

Abstract: A method of assessing an individual through facial muscle activity and expressions includes receiving a visual recording stored on a computer-readable medium of an individual's non-verbal responses to a stimulus, the non-verbal response comprising facial expressions of the individual. The recording is accessed to automatically detect and record expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images. The contemporaneously detected and recorded expressional repositionings are automatically coded to an action unit, a combination of action units, and/or at least one emotion. The action unit, combination of action units, and/or at least one emotion are analyzed to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed.

Abstract: Systems and techniques for emotional analytics for performance improvement are described herein. Performance data of a subject can be received including a specific performance event. Emotional data of the subject corresponding to the specific performance event can be received. A plan to achieve a performance goal for the subject can be determined based on both the performance data and the emotional data. The plan can be presented to a user.

Abstract: Systems and techniques for emotional modeling of a subject are described herein. Emotional data of a subject during exposure to a stimulus can be received. The emotional data can be interpreted to produce a result. The result can include an emotional model of the subject. The result can be presented to the user.

Abstract: A method of assessing an individual through facial muscle activity and expressions includes receiving a visual recording stored on a computer-readable medium of an individual's non-verbal responses to a stimulus, the non-verbal response comprising facial expressions of the individual. The recording is accessed to automatically detect and record expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images. The contemporaneously detected and recorded expressional repositionings are automatically coded to an action unit, a combination of action units, and/or at least one emotion. The action unit, combination of action units, and/or at least one emotion are analyzed to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed.

Abstract: The present disclosure relates to a method of assessing consumer reaction to a stimulus, comprising receiving a visual recording stored on a computer-readable medium of facial expressions of at least one human subject as the subject is exposed to a business stimulus so as to generate a chronological sequence of recorded facial images; accessing the computer-readable medium for automatically detecting and recording expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images; automatically coding contemporaneously detected and recorded expressional repositionings to at least a first action unit, wherein the action unit maps to a first set of one or more possible emotions expressed by the human subject; assigning a numerical weight to each of the one or more possible emotions of the first set based upon both the number of emotions in the set and the common emotions in

Abstract: A method of reporting consumer reaction to a stimulus and resultant report generated by (i) recording facial expressions and eye positions of a human subject while exposed to a stimulus throughout a time period, (ii) coding recorded facial expressions to emotions, and (iii) reporting recorded eye positions and coded emotions, along with an identification of the stimulus.

Abstract: A method of assessing an individual through facial muscle activity and expressions includes receiving a visual recording stored on a computer-readable medium of an individual's non-verbal responses to a stimulus, the non-verbal response comprising facial expressions of the individual. The recording is accessed to automatically detect and record expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images. The contemporaneously detected and recorded expressional repositionings are automatically coded to an action unit, a combination of action units, and/or at least one emotion. The action unit, combination of action units, and/or at least one emotion are analyzed to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed.

Abstract: A method of reporting consumer reaction to a stimulus and resultant report generated by (i) recording facial expressions and eye positions of a human subject while exposed to a stimulus throughout a time period, (ii) coding recorded facial expressions to emotions, and (iii) reporting recorded eye positions and coded emotions, along with an identification of the stimulus.

Abstract: The present disclosure relates to a method of assessing consumer reaction to a stimulus, comprising receiving a visual recording stored on a computer-readable medium of facial expressions of at least one human subject as the subject is exposed to a business stimulus so as to generate a chronological sequence of recorded facial images; accessing the computer-readable medium for automatically detecting and recording expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images; automatically coding contemporaneously detected and recorded expressional repositionings to at least a first action unit, wherein the action unit maps to a first set of one or more possible emotions expressed by the human subject; assigning a numerical weight to each of the one or more possible emotions of the first set based upon both the number of emotions in the set and the common emotions in

Abstract: A method of assessing an individual through facial muscle activity and expressions includes receiving a visual recording stored on a computer-readable medium of an individual's non-verbal responses to a stimulus, the non-verbal response comprising facial expressions of the individual. The recording is accessed to automatically detect and record expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images. The contemporaneously detected and recorded expressional repositionings are automatically coded to an action unit, a combination of action units, and/or at least one emotion. The action unit, combination of action units, and/or at least one emotion are analyzed to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed.

Abstract: A method of assessing consumer reaction to a marketing stimulus, involving the steps of (a) exposing a sample population to a marketing stimulus for a period of time, (b) interviewing members of the sample population immediately after exposure of the members to the marketing stimulus, (c) videotaping any facial expressions and associated verbal comments of individual members of the sample population during the exposure period and interview, (d) reviewing the videotaped facial expressions and associated verbal comments of individual members of the sample population to (1) detect the occurrence of action units, (2) detect the occurrence of a smile, (3) categorize any detected smile as duchenne or social smile, (4) detect the occurrence of any verbal comment associated with a detected smile, and (5) categorize any associated verbal comment as positive, neutral or negative, (e) coding a single action unit or combination of action units to a coded unit, (f) associating coded units with any contemporaneously detect

Abstract: A method of assessing consumer reaction to a marketing stimulus, involving the steps of (a) exposing a sample population to a marketing stimulus for a period of time, (b) interviewing members of the sample population immediately after exposure of the members to the marketing stimulus, (c) videotaping any facial expressions and associated verbal comments of individual members of the sample population during the exposure period and interview, (d) reviewing the videotaped facial expressions and associated verbal comments of individual members of the sample population to (1) detect the occurrence of action units, (2) detect the occurrence of a smile, (3) categorize any detected smile as duchenne or social smile, (4) detect the occurrence of any verbal comment associated with a detected smile, and (5) categorize any associated verbal comment as positive, neutral or negative, (e) coding a single action unit or combination of action units to a coded unit, (f) associating coded units with any contemporaneously detect

Abstract: A sample population including a plurality of members participate in a consumer activity for a participation period to assess consumer reaction to the consumer activity. Surface electromyography signals from a zygomatic muscle and electrodermography signals of each member of the sample population are measured during the participation period. Data is recorded including at least a description of a stimulus experienced by each member during the participation period and a description of the interaction between the member and the stimulus. The recorded data is synchronized with the measurements of electromyography signals and electrodermography signals for each member to allow association of the recorded data with the measurements. The electromyography signals are equated or translated to an appeal value and the electrodermography signals are equated or translated to an impact value for each member.

Abstract: A method of assessing consumer reaction to a marketing stimulus, involving the steps of (a) exposing a sample population to a marketing stimulus for an exposure period, (b) measuring surface electromyography signals from a zygomatic muscle of each member of the sample population during an exposure period, (c) optionally measuring surface electromyography signals from a corrugator facial muscle of each member of the sample population during the exposure period and combining the measured surface electromyography signals from the zygomatic and corrugator facial muscle of each member of the sample population to produce combined electromyography signals, (d) measuring electrodermography signals of each member of the sample population during the exposure period, (e) equating or translating the electromyography signals to an appeal value for each member, (f) equating or translating the electrodermography signals to an impact value for each member, and (g) visually representing each of the appeal and impact values id