Method and system for predicting personality traits, capabilities and suggested interactions from images of a person

Abstract

The invention relates to a method of predicting personality characteristic from images of a subject person's face, comprising: a) collecting training images of multiple persons for training propose, the images associated with metadata characteristics of human personality; b) grouping the collected training images into training groups; c) training at least one image-based classifier to predict at least one characteristics of human personality from at least one image of a second person; and d) applying the at least one image-based classifier to at least one image of the subject person for outputting a prediction of at least one human personality characteristic of the subject person.

What is claimed is: 
     
         1 . A method of adapting computerized interactions according to an analysis of at least one facial image, comprising:
 providing at least one facial image imaging a face of an individual;   applying at least one image-based classifier on the at least one facial image for identifying at least one trait value of at least one human personality trait of said individual, the at least one image-based classifier is generated by applying at last one machine learning algorithm on a plurality of training images imaging faces of multiple individuals;   adapting a computerized interaction with the individual according to a combination of the at least one trait value and demographic data relating to the individual.   
     
     
         2 . The method of  claim 1 , wherein the at least one trait valuecomprises a at least one trait value of a plurality of human personality traits. 
     
     
         3 . The method of  claim 1 , wherein adapting comprising modifying an avatar according to the combination the at least one trait value and demographic data relating to the individual. 
     
     
         4 . The method of  claim 1 , wherein adapting comprising adapting a member of a group consisting of: a video chat, a conference call, a wearable computer action, a client relationship management (CRM) action, a set-top box action, and a gaming console action. 
     
     
         5 . A method according to  claim 1 , wherein the at least one human personality trait comprising at least one personal capability and at least one human behavior. 
     
     
         6 . A method according to  claim 1 , wherein the adapting is performed according to the combination and metadata associated with the individual, the metadata describes a human personality trait selected from a group consisting of: a profession, an online behavior, endorsements fror social network, a real-world behavior, and a personality profile. 
     
     
         7 . A method according to  claim 1 , further comprising using a search engine for searching for a plurality of additional images of the individual and analyzing said plurality of additional images to enhance an accuracy of the at least one trait value. 
     
     
         8 . A method according to  claim 1 , further comprising presenting the at least one trait value on a screen. 
     
     
         9 . A method according to  claim 1 , further comprising analyzing audio signals captured during the computerized interaction for further adapting the computerized interaction. 
     
     
         10 . A method according to  claim 1 , further comprising analyzing text input captured during the computerized interaction for further adapting the computerized interaction. 
     
     
         11 . A method according to  claim 1 , wherein the adapting comprises presenting communication recommendation during the computerized interaction based on the combination of the at least one trait value and demographic data relating to the individual. 
     
     
         12 . A method according to  claim 1 , wherein the adapting comprises adapting an advertisement presented during the computerized interaction based on the combination of the at least one trait value and demographic data relating to the individual. 
     
     
         13 . The method of  claim 1 , further comprising converting each of the plurality of training images into a normalized representation representing a common frontal pose. 
     
     
         14 . The method of  claim 1 , further comprising extracting a plurality of facial key points of the individual, wherein the at least one image-based classifier is applied on the plurality of facial key points. 
     
     
         15 . The method of  claim 14 , wherein the plurality of facial key points comprising at least some of the following: eyes, eye corners, eyebrows, nose top, mouth, and chin. 
     
     
         16 . A system of adapting computerized interactions according to an analysis of at least one facial image, comprising:
 a camera adapted to capture at least one facial image imaging a face of an individual; and   a processor adapted to:
 apply at least one image-based classifier on the at least one facial image for identifying at least one trait value of at least one human personality trait of said individual, the at least one image-based classifier is generated by applying at last one machine learning algorithm on a plurality of training images of multiple individuals, and 
 adapt a computerized interaction with the individual according to a combination of the at least one trait value and demographic data relating to the individual.