Invention Grant
- Patent Title: Automatically assessing the mental state of a user via drawing pattern detection and machine learning
-
Application No.: US15263035Application Date: 2016-09-12
-
Publication No.: US09934363B1Publication Date: 2018-04-03
- Inventor: Jinho Hwang , Roxana Monge Nunez , Valentina Salapura , Maja Vukovic
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, PC
- Agent Yeen C. Tham, Esq.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F19/00 ; G06N5/04 ; G06N99/00 ; G10L25/63

Abstract:
A method and system for automatically assessing the mental state of a user from a drawing made by the user. The mental state of the user is automatically assessed by digitizing a drawing and determining and analyzing drawing characteristics, including color, objects, and location. Video analytics are used to determine and analyze user time characteristics and mood characteristics. The mental state of the user is automatically determined by interpreting the color, object, location, time and mood characteristics and to automatically select a user action. A machine learning algorithm can learn developmental patterns of the user from historical data about a plurality of the user's drawings and the characteristics of the drawings to determine the mental state of the user. The machine learning algorithm can be used in selecting the user action.
Public/Granted literature
- US20180075198A1 AUTOMATICALLY ASSESSING THE MENTAL STATE OF A USER VIA DRAWING PATTERN DETECTION AND MACHINE LEARNING Public/Granted day:2018-03-15
Information query