Patent · US Active

Method for estimating human emotions using deep psychological affect network and system therefor

US10853632B2 · kind B2 · utility

0Cited by

2References

17Claims

0Family size

Assignee

KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY · KR

Inventors

Sungho Jo · East Sharon, US
Byung Hyung Kim · Daejeon, KR

Key dates

Filing date	Dec 7, 2018
Grant date	Dec 1, 2020
Priority date	—
Expiry date	Mar 15, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06V40/20
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed are a method and a system for estimating human emotions using a deep psychological affect network for human emotion recognition. According to an embodiment of the present disclosure, a method for estimating emotion includes obtaining a physiological signal of a user, learning a network, which receives the obtained physiological signal, by using a temporal margin-based classification loss function considering a temporal margin, when the learning is in progress along a time axis, and estimating an emotion of the user through the learning of the network using the temporal margin-based classification loss function.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.