Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Paper
Evaluation of Biological Signals Measurable with Wearable Sensors for Stress Identification
Naoya WakabayashiHiromitsu ShimakawaFumiko Harada
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2022 Volume 35 Issue 9 Pages 217-227

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Abstract

To improve the productivity of individuals, this study proposes a method to identify stress, which is also divided into positive or negative one. The method takes features in the time course into account. The paper presents important variables to estimate stress states. Whether the proposed method can identify stress states is confirmed through experiments, whose details are explained in the paper. The paper also discusses how to use non-invasive and low-cost wearable sensors along with the method.

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