Invention Grant
- Patent Title: Method for real time analyzing stress using deep neural network algorithm
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Application No.: US16456139Application Date: 2019-06-28
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Publication No.: US11317840B2Publication Date: 2022-05-03
- Inventor: Inchan Youn , Kuiwon Choi , Hyung Min Kim , Suh-Yeon Dong , Hyunmyung Cho
- Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Applicant Address: KR Seoul
- Assignee: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Seoul
- Agency: Birch, Stewart, Kolasch & Birch, LLP
- Priority: KR10-2018-0095468 20180816
- Main IPC: A61B5/16
- IPC: A61B5/16 ; A61B5/00 ; G06F17/18 ; G06N3/08 ; G06N20/00

Abstract:
The present invention relates to a stress analysis method including: acquiring bio-signals from a test subject; calculating a probability of each of a plurality of stress level values by processing the bio-signals using a deep neural network algorithm; estimating a stress level value with the maximum probability of the plurality of stress level values as a stress level value of the test subject; determining usefulness of the estimated stress level value; and outputting the estimated stress level value determined to be useful through the determination of usefulness, as the final stress level.
Public/Granted literature
- US20200054262A1 METHOD FOR REAL TIME ANALYZING STRESS USING DEEP NEURAL NETWORK ALGORITHM Public/Granted day:2020-02-20
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