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METHOD FOR REAL TIME ANALYZING STRESS USING DEEP NEURAL NETWORK ALGORITHM
专利权人:
KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
发明人:
Inchan YOUN,Kuiwon CHOI,Hyung Min KIM,Suh-Yeon DONG,Hyunmyung CHO
申请号:
US16456139
公开号:
US20200054262A1
申请日:
2019.06.28
申请国别(地区):
US
年份:
2020
代理人:
摘要:
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.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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