Title:
EMOTION RECOGNITION DEVICE AND METHOD IN EDGE COMPUTING ENVIRONMENT
Document Type and Number:
WIPO Patent Application WO/2023/113448
Kind Code:
A1
Abstract:
An emotion recognition device and method in an edge computing environment are disclosed. The emotion recognition device in an edge computing environment according to the present invention comprises: a voice detection unit configured to receive an input of a user's voice; an image capturing unit configured to capture an image of the user's face; a brainwave measurement unit configured to measure the user's brainwaves; an emotion database configured to store emotion learning information; a control unit configured to combine feature brainwaves, a facial landmark, and a feature voice, which are obtained by pre-processing a voice, a captured image, and brainwaves input from the voice detection unit, the image capturing unit, and the brainwave measurement unit while the user speaks, and then extracting features of the pre-processed data, and recognize the user's emotion through deep learning on the basis of the emotion learning information stored in the emotion database; and an output unit configured to output the emotion recognized by the control unit.
Inventors:
HENAR MIKE OBRA CANILANG (KR)
KAMALI MUHAMMAD ADIB (KR)
CABIAO CALIWAG EJ MIGUEL FRANCISCO (KR)
CABIAO CALIWAG ANGELA (KR)
LIM WAN SU (KR)
KIM SANG HO (KR)
HWANG HAN JEONG (KR)
JEONG JIN WOO (KR)
JUNG YU CHUL (KR)
KAMALI MUHAMMAD ADIB (KR)
CABIAO CALIWAG EJ MIGUEL FRANCISCO (KR)
CABIAO CALIWAG ANGELA (KR)
LIM WAN SU (KR)
KIM SANG HO (KR)
HWANG HAN JEONG (KR)
JEONG JIN WOO (KR)
JUNG YU CHUL (KR)
Application Number:
PCT/KR2022/020288
Publication Date:
June 22, 2023
Filing Date:
December 14, 2022
Export Citation:
Assignee:
KUMOH NAT INST TECHNOLOGY IND ACAD COOP FOUND (KR)
UNIV KOREA RES & BUSINESS FOUNDATION SEJONG CAMPUS (KR)
UNIV KOREA RES & BUSINESS FOUNDATION SEJONG CAMPUS (KR)
International Classes:
G06V40/16; A61B5/16; A61B5/372; G06N3/08; G06V10/44; G06V10/80; G10L25/63
Foreign References:
| KR20200036680A | 2020-04-07 | |||
| KR20200141672A | 2020-12-21 | |||
| JP2021049349A | 2021-04-01 | |||
| KR102277820B1 | 2021-07-16 |
Other References:
ANONYMOUS: "A study on the protection of video copyrighted works using artificial intelligence", 30 November 2018 (2018-11-30), XP093072084, Retrieved from the Internet
Attorney, Agent or Firm:
AJU INTERNATIONAL LAW & PATENT GROUP (KR)
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