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1. (WO2018122633) EMOTION ESTIMATION APPARATUS, METHOD, AND PROGRAM

Pub. No.:    WO/2018/122633    International Application No.:    PCT/IB2017/055272
Publication Date: Fri Jul 06 01:59:59 CEST 2018 International Filing Date: Sat Sep 02 01:59:59 CEST 2017
IPC: A61B 5/18
A61B 5/00
A61B 5/0402
A61B 5/0476
A61B 5/053
G06F 19/00
A61B 5/055
B60K 28/06
Applicants: OMRON CORPORATION
Inventors: KOTAKE, Yasuyo
NAKAJIMA, Hiroshi
Title: EMOTION ESTIMATION APPARATUS, METHOD, AND PROGRAM
Abstract:
Apparatus and methods for assisted driving, wherein the method comprises steps of: storing (S1110) information indicating an emotion of a subject, and information indicating an activity of the subject; generating (S1113) learning data representing a relationship between the stored information indicating the emotion of the subject, and the stored information indicating the activity of the subject t and store the learning data into a memory; estimating (S1123), after the learning data is generated, a current emotion of the subject based on information indicating a current activity of the subject obtained by an obtaining unit, and the learning data stored in the memory; and providing (S1190) driving assistance of the vehicle based on the estimated current emotion. Similarly, manufacturing line control, and health care support apparatus are provided, wherein the apparatuses provide for manufacturing line control and healthcare support on the basis of the estimated emotion. Also, it is provided a simple, widely applicable emotion estimation apparatus capable of estimating a subject's emotions without any component for monitoring external events. In a learning mode, the apparatus generates regression equations for estimating emotional changes in arousal and in valence by multiple regression analysis with supervisory data being information indicating the subject's emotion input through an emotion input device (2), and variables being feature quantities obtained concurrently by a measurement device (3) from measurement data items, or heart electrical activity H, skin potential activity (G), eye movement (EM), motion (BM), and an activity amount (Ex) of the subject. The apparatus estimates the emotional changes of the subject using the regression equations, and changes in the feature quantities of the measurement data items, or the heart electrical activity (H), the skin potential activity (G), the eye movement (EM), the motion (BM), and the activity amount (Ex) of the subject measured by the measurement device (3).