DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jo, Sung-Ho | ko |
dc.contributor.author | Kim, Byung Hyung | ko |
dc.date.accessioned | 2020-12-31T00:50:54Z | - |
dc.date.available | 2020-12-31T00:50:54Z | - |
dc.identifier.uri | http://hdl.handle.net/10203/279368 | - |
dc.description.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. | - |
dc.title | Method for estimating human emotions using deep psychological affect network and system therefor | - |
dc.title.alternative | 인간 감정 인식을 위한 딥 생리적 정서 네트워크를 이용한 인간 감정 추정 방법 및 그 시스템 | - |
dc.type | Patent | - |
dc.type.rims | PAT | - |
dc.contributor.localauthor | Jo, Sung-Ho | - |
dc.contributor.assignee | KAIST | - |
dc.identifier.iprsType | 특허 | - |
dc.identifier.patentApplicationNumber | 16214011 | - |
dc.identifier.patentRegistrationNumber | 10853632 | - |
dc.date.application | 2018-12-07 | - |
dc.date.registration | 2020-12-01 | - |
dc.publisher.country | US | - |
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