Abstract—To improve work productivity, this study proposes a method to detect stress, which is classified as positive or negative after the detection. The classification contributes to recommending suitable tasks under every stress condition. The method uses less invasive wearable sensors to acquire biological data. It is checked whether the characteristics of the wearable sensors would affect the biological data. Important variables are also explored to estimate stress. This paper presents the results and discussions to confirm through experiments whether the proposed method can detect and classify stress. 

Index Terms—Classification of stress, detection of stress, positive stress, negative stress, task recommendation, wearable sensor

Cite: Naoya Wakabayashi, Hiromitsu Shimakawa, and Fumiko Harada, "How to Detect and Classify Stress Using Wearable Sensors to Recommend Task," International Journal of Electronics and Electrical Engineering, Vol. 9, No. 4, pp. 83-92, December 2021. doi: 10.18178/ijeee.9.4.83-92