Psychological Stress Monitoring and Reporting System for Industries

M. Subramanian, V. Kanishkan, P. Venkatesan, S. Vivek, S. Maheswari
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引用次数: 1

Abstract

This project focuses on combining cognitive cues with the conventional physiological cues to have an improved approach for detecting stress. Current stress detection techniques rely on the measurement of certain physiological parameters based on which they determine stress. However, these techniques are not completely reliable because of the effect of other phenomenon on the physiological parameters. In this paper, an alternative method is proposed for the same purpose which involves the extraction of various cognitive features along with the traditional physiological data and processing it through neural networks aiming to make the results more accurate than existing system.
工业心理压力监测与报告系统
本研究的重点是将认知线索与常规生理线索相结合,以改进压力检测方法。当前的应力检测技术依赖于某些生理参数的测量,这些参数是确定应力的基础。然而,由于其他现象对生理参数的影响,这些技术并不完全可靠。本文提出了一种替代方法,即在传统生理数据中提取各种认知特征,并通过神经网络对其进行处理,以使结果比现有系统更准确。
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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