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对压力检测的新视角:用于检测压力和痛苦的自动化方法

Mohamad Awada1, Burcin Becerik-Geber1, Gale M Lucas2

  • 1Viterbi School of Engineering, University of Southern California (USC), Los Angeles, CA, USA.

IEEE transactions on affective computing
|October 18, 2024
PubMed
概括

这项研究使用机器学习通过分析生理和行为信号来区分正压力 (eustress) 和负压力 (distress). 研究结果支持工作场所的干预措施,以增强压力和减少痛苦.

关键词:
行为数据 行为数据机器学习 机器学习生理数据 生理数据心理压力 心理压力

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