US 10,019,653 B2Granted

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

AssigneeFaception Ltd.

InventorsItzhak Wilf, Yael Michaeli, Shai Gilboa, David Gavriel, Gilad Bechar

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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.

Claims16

Dependent claims

A method of identifying and/or predicting personality traits and ranking and/or searching individuals from at least one image of each of said individuals' faces, comprising:

a) collecting training images of multiple persons for machine learning training purpose in order to identify personality traits from said images, wherein each of said training images is associated with metadata characteristics of human personality traits;
b) grouping said collected training images into training groups according to said associated metadata;
c) applying machine learning algorithm(s) on images in at least one of said training groups for training at least one image-based classifier to identify at least one characteristic of human personality trait from at least one image of a specific subject person;
d) providing at least one face image for each of said individuals;
e) applying said at least one image-based classifier to at least one face image for each of said individuals for identifying at least one characteristic of at least one human personality trait of said individuals;
f) combining said at least one characteristic of at least one human personality trait with at least one other characteristic or at least one additional metadata relating to each of said individuals into a composite score;
and
g) ordering the individuals based on the composite score and selecting at least one individual based on said ordering.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/700,315Filed 30 Apr 2015 · continuation in part
Priority: 2 Nov 2012
Published: US 2015/0242707 A127 Aug 2015
Granted: 10 Jul 2018
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06V 40/174
Human faces, e.g. facial parts, sketches or expressions: facial expression recognition
G06F 18/214
Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation: generating training…
G06F 18/24
Analysing: classification techniques
G06F 18/2413
Relating to the classification model, e.g. parametric or non-parametric approaches: based on distances to training or reference patterns

Family

Application61/721,571Us provisional application · filed 2 Nov 2012
Application61/858,686Us provisional application · filed 26 Jul 2013
PCT/IL2013/050892Parent of this continuation-in-part · filed 31 Oct 2013
US 2015/0242707 A1Pre-grant publication · published 27 Aug 2015
US 10,019,653 B2This patent

From the US filing history. Foreign family members aren’t listed.