2022 年 35 巻 9 号 p. 217-227
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.