Psychophysiological Parameters for Emotion recognition – Conception and first evaluation of a measurement environment

Jonas Birkle, Ruben Weber, K. Möller, Verena Wagner-Hartl *
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引用次数: 1

Abstract

The recognition of emotions is an essential basis of human social interaction. This is relevant at all levels of human interaction. However, the ability varies greatly among people. For this reason, the measurement of emotions is of great interest for a wide variety of applications. Furthermore, it is also an interesting topic in the current COVID-19 pandemic-situation with its restrictions regarding personal contacts. The presented paper focuses on a concept and first evaluation of a measurement environment. A multidimensional approach was chosen for the developed concept. The studied psychophysiological measures were: cardiovascular (ECG) and electrodermal activity (EDA) as well as the forearm and neck electromyography (EMG). In addition, the facial expression was recorded via camera. The results of a first evaluation show, that the combination of the different measures was successful and promising for the use in further research.
情绪识别的心理生理参数。测量环境的概念和首次评估
情感识别是人类社会交往的重要基础。这在人类互动的各个层面都是相关的。然而,这种能力因人而异。由于这个原因,情绪的测量对于各种各样的应用都是非常有趣的。此外,在当前COVID-19大流行的情况下,这也是一个有趣的话题,因为它限制了个人接触。本文着重讨论了测量环境的概念和初步评价。为开发概念选择了多维方法。研究的心理生理指标为:心血管(ECG)和皮电活动(EDA)以及前臂和颈部肌电图(EMG)。此外,通过摄像头记录面部表情。初步评价结果表明,不同措施的结合是成功的,并有望在进一步的研究中使用。
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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