腕带生理信号检测社会和竞争压力

2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN) Pub Date : 2017-05-09 DOI:10.1109/BSN.2017.7936002

Mert Sevil, Iman Hajizadeh, S. Samadi, Jianyuan Feng, Caterina Lazaro Martinez, Nicole Frantz, Xia Yu, Rachel Brandt, Zacharie Maloney, A. Çinar

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引用次数: 24

摘要

应激引起机体许多生理变化，对生理有显著影响。各种类型的急性压力包括社会压力、竞争压力、情绪压力和精神压力。利用生理信号对应力的检测和测量进行了一些研究和实验。我们设计了社会压力和竞争压力实验来测试我们的算法，通过Empatica腕带的生理信号来区分压力和非压力状态。该算法在检测应力存在方面取得了成功，准确率约为87%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Social and competition stress detection with wristband physiological signals

Stress causes many physiological changes in the body and has significant effects on physiology. Various types of acute stress include social, competition, emotional and mental stress. Several studies and experiments have been conducted to investigate stress detection and measurement with physiological signals. We designed social and competition stress experiments to test our algorithms to discriminate between stress and non-stress states with physiological signals from an Empatica wristband. The algorithms were successful in detecting the presence of stress with approximately 87% accuracy.

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2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

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