US2014162225A1PendingUtilityA1

Method of assessing people's self-presentation and actions to evaluate personality type, behavioral tendencies, credibility, motivations and other insights through facial muscle activity and expressions

Assignee: SENSORY LOGIC INCPriority: Apr 16, 2009Filed: Nov 27, 2013Published: Jun 12, 2014
Est. expiryApr 16, 2029(~2.7 yrs left)· nominal 20-yr term from priority
Inventors:Daniel A. Hill
A61B 5/16G06V 40/176A61B 5/164A61B 5/11A61B 5/165A61B 5/167G06F 17/60
50
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Claims

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.

Claims

exact text as granted — not AI-modified
I claim: 
     
         1 . A method of assessing an individual through facial muscle activity and expressions, the method comprising:
 (a) 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, so as to generate a chronological sequence of recorded verbal responses and corresponding facial images;   (b) accessing the computer-readable medium for 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;   (c) coding contemporaneously detected and recorded expressional repositionings to at least one of an action unit, a combination of action units, or at least one emotion; and   (d) analyzing the at least one of an action unit, a combination of action units, or at least one emotion 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.   
     
     
         2 . The method of  claim 1 , wherein the visual recording further comprises a verbal response to the stimulus, and wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion utilizes the verbal response comprises assessing the at least one emotion against at least portions of the individual's verbal response to assess one or more characteristics of the individual with respect to the individual's verbal response. 
     
     
         3 . The method of  claim 2 , wherein the verbal responses are categorized by topic. 
     
     
         4 . The method of  claim 2 , further comprising creating a transcript of at least a portion of the individual's verbal response, and analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises one or more of:
 identifying places in the transcript of emotional response;   identifying the valence of the emotions for places in the transcript;   identifying one or more emotions that are most predominant with respect to at least portions of the transcript; and   identifying discrepancies between the verbal response and emotive response of the individual.   
     
     
         5 . The method of  claim 1 , wherein detecting and recording facial expressional repositioning of each of a plurality of selected facial features comprises recording the timing of the detected repositioning for peak emoting and real-time duration. 
     
     
         6 . The method of  claim 1 , wherein coding contemporaneously detected and recorded expressional repositionings comprises automatically coding a single action unit or combination of action units to at least one corresponding emotion by percentage or type. 
     
     
         7 . The method of  claim 1 , wherein coding contemporaneously detected and recorded expressional repositionings comprises coding a single action unit or combination of action units to a weighted value. 
     
     
         8 . The method of  claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises determining whether the individual's emotional response is predominantly positive, neutral, or negative. 
     
     
         9 . The method of  claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises quantifying the volume of emotion to determine the degree to which the individual is engaged or enthusiastic. 
     
     
         10 . The method of  claim 5 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises quantifying the duration of each action unit or combination of action units to determine the degree to which the individual is engaged or enthusiastic. 
     
     
         11 . The method of  claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises analyzing the degree of intensity for each action unit or combination of action units to determine the degree to which the individual is engaged or enthusiastic. 
     
     
         12 . The method of  claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises identifying moments of the recording that elicited emotion based on the at least one of an action unit, a combination of action units, or at least one emotion. 
     
     
         13 . The method of  claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises developing a profile of the individual's personality based on the percentage of positive versus negative emotions and the specific emotions shown during the stimulus. 
     
     
         14 . The method of  claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises corresponding the at least one of an action unit, a combination of action units, or at least one emotion by stimulus type to relate emotional response data for the individual to a formula for determining the degree to which the individual fits one or more of the Big Five Factor model personality traits. 
     
     
         15 . The method of  claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises corresponding the at least one of an action unit, a combination of action units, or at least one emotion by stimulus type for determining the degree to which the individual is susceptible to one or more of the biases identified as part of Behavioral Economics. 
     
     
         16 . The method of  claim 1 , wherein the stimulus comprises one or more of questions, statements, or scenarios. 
     
     
         17 . The method of  claim 16 , wherein the objective the individual is being assessed for is the individual's suitability for a job position or task related to a job. 
     
     
         18 . The method of  claim 16 , wherein the objective the individual is being assessed for is to determine potential romantic partners. 
     
     
         19 . The method of  claim 16 , wherein the objective the individual is being assessed for is to ascertain one or more of emotional responses, potential veracity, personality type, and levels of enthusiasm for legal applications. 
     
     
         20 . The method of  claim 1 , further comprising linking eye tracking data from the visual recording with the at least one of an action unit, a combination of action units, or at least one emotion.

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