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SYSTEM AND METHOD FOR TRAINING A MODEL FOR ESTIMATING GUESS WORK USING PHYSIOLOGICAL SENSING
专利权人:
发明人:
SINHA ANIRUDDHA,DAS PRATYUSHA,GAVAS RAHUL DASHARATH,CHATTERJEE DEBATRI,SAHA SANJOY KUMAR
申请号:
IN201621034850
公开号:
IN201621034850A
申请日:
2016.10.12
申请国别(地区):
IN
年份:
2018
代理人:
摘要:
A system and method for training a model for estimating guess work using physiological sensing based analysis of heart rate variability are provided. The method includes systematically presenting a plurality of stimuli to a candidate for performance of a sequence of tasks of varying difficulty level, and receiving response to the plurality of stimuli from the candidate. The responses include guess responses or non-guess responses. A difference of the guess responses is determined for the sequence of tasks. Photoplethysmogram (PPG) signal is received from the candidate performing the sequence of tasks, and a difference in Heart Rate Variability (HRV) features obtained from the PPG signal are computed for the sequence of tasks, the HRV features. The difference in the HRV data is associated with the difference of the guess responses to obtain an indication of relative guess work associated with the sequence of tasks of the varying difficulty 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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