Systems and methods for analyzing facial expressions, identifying intent and transforming images through review of facial expressions
Abstract
Methods of analyzing a plurality of facial expressions are disclosed that include: identifying a subject person, utilizing the subject person to create an image of a known target, removing at least one distracter expression from the target image to form a revised target image, and reviewing the revised target image with at least one third party participant to form a final target image. Additional methods of analyzing a plurality of facial expressions include: identifying a subject person, utilizing the subject person to create an image of a known target, digitizing the target image, removing at least one distracter expression from the target image to transform the target image to a revised target image, and reviewing the revised target image with at least one third party participant to transform the revised target image to a final target image. Software for implementing contemplated methods include: a set speed function, a pre-test phase function, an instruction phase function, a practice phase function, and a post-test phase function.
Claims
exact text as granted — not AI-modified1 - 20 . (canceled)
21 . A method of creating and analyzing a plurality of facial expressions, comprising:
identifying a subject person, utilizing the subject person to create an image of a known target, removing at least one distracter expression from the target image to form a revised target image, reviewing the revised target image with at least one third party participant to form a final target image; presenting, by a computer, a user with multiple target images depicting a facial expression, wherein the multiple target images include images of dangerous intent and images of non-dangerous intent, and wherein the multiple target images include the final target image; receiving, by the computer, a response from the user, wherein the response indicates whether or not the facial expression depicted in each target image of the multiple target images depicts a dangerous intent facial expression; determining, by the computer, whether the response is correct or incorrect; tracking, by the computer, a total number of correct and incorrect responses from the user; and displaying, by the computer, the total number of correct and incorrect responses to the user.
22 . The method of claim 21 , wherein the subject person is a crime victim.
23 . The method of claim 22 , wherein the crime victim is an assault victim.
24 . The method of claim 21 , wherein the known target is the criminal.
25 . The method of claim 24 , wherein the criminal is an attacker.
26 . The method of claim 21 , further comprising identifying at least one key feature in the final target image that depicts target intent.
27 . The method of claim 26 , wherein the target intent comprises dangerous intent.
28 . The method of claim 21 , further comprising comparing the final target image to at least one comparison image.
29 . The method of claim 21 , wherein utilizing the subject person to create an image of a known target includes digitizing the image.
30 . A method of creating and analyzing a plurality of facial expressions, comprising:
identifying a subject person, utilizing the subject person to create a target image of a known target, digitizing the target image, removing at least one distracter expression from the target image to transform the target image to a revised target image, reviewing the revised target image with at least one third party participant to transform the revised target image to a final target image; presenting, by the computer, a user with multiple target images depicting a facial expression, wherein the multiple target images include images of dangerous intent and images of non-dangerous intent, and wherein the multiple target images include the final target image; receiving, by the computer, a response from the user, wherein the response indicates whether or not the facial expression depicted in each target image of the multiple target images depicts a dangerous intent facial expression; determining, by the computer, whether the response is correct or incorrect; tracking, by the computer, a total number of correct and incorrect responses from the user; and displaying, by the computer, the total number of correct and incorrect responses to the user.
31 . The method of claim 30 , wherein the subject person is a crime victim.
32 . The method of claim 31 , wherein the crime victim is an assault victim.
33 . The method of claim 30 , wherein the known target is the criminal.
34 . The method of claim 33 , wherein the criminal is an attacker.
35 . The method of claim 30 , further comprising identifying at least one key feature in the final target image that depicts target intent.
36 . The method of claim 35 , wherein the target intent comprises dangerous intent.
37 . The method of claim 30 , further comprising comparing the final target image to at least one comparison image.
38 . The method of claim 30 , wherein utilizing the subject person to create an image of a known target includes digitizing the image.
39 . An executable software for implementing the method of claim 21 , embodied on a non-transitory computer-readable medium, the executable software comprising:
a set speed function, a pre-test phase function, an instruction phase function, a practice phase function, and a post-test phase function.
40 . A system comprising a computer for executing the executable software of claim 39 .
41 . A method of analyzing a plurality of facial expressions, comprising:
presenting, by a computer, a user with multiple target images depicting a facial expression, wherein the multiple target images include images of dangerous intent and images of non-dangerous intent; receiving, by the computer, a response from the user, wherein the response indicates whether or not the facial expression displayed in each target image of the multiple target images depicts a dangerous intent facial expression; determining, by the computer, whether the response is correct or incorrect; tracking, by the computer, a total number of correct and incorrect responses from the user; and displaying, by the computer, the total number of correct and incorrect responses to the user.
42 . The method of claim 41 , further comprising:
providing the user with instructions for identifying dangerous intent facial expressions, wherein the instructions comprise a depiction of dangerous intent facial expressions, and wherein the instructions contrast the dangerous intent facial expression depictions with a depiction of distracter facial expressions.Join the waitlist — get patent alerts
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