从实验室到现实世界:利用生理信号研究人体运动对情绪识别的影响

Yaqian Xu, I. Hübener, Ann-Kathrin Seipp, Sandra Ohly, K. David
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引用次数: 21

摘要

利用皮肤电活动(EDA)、心电图(ECG)或肌电图(EMG)等生理信号识别人类情绪,在过去的几十年里得到了广泛的研究,引起了人们的极大兴趣。尽管在实验室条件下表现出相对令人满意的性能,但使用生理信号的情绪识别(ER)系统在现实世界中的应用并不广泛。一个重要的事实是,在现实世界中,生理信号可能会受到人体运动的影响,因此,它们不能作为情感的唯一指示。在本文中,我们利用生理信号来研究人体运动对内质网的影响。我们比较了测试者在进行一些体力活动(如散步、上楼)之前和之后的不同情绪测量。我们讨论了在实验室和现实世界中识别情绪的主要区别,并为现实场景中急诊室系统的开发提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From the lab to the real-world: An investigation on the influence of human movement on Emotion Recognition using physiological signals
The recognition of human emotions using physiological signals such as Electrodermal Activity (EDA), Electrocardiogram (ECG) or Electromyography (EMG), has been extensively researched in the past attracting a lot of interest during the last few decades. Although showing a relatively satisfactory performance under lab conditions, Emotion Recognition (ER) systems using physiological signals are not widely used in real-world scenarios. One important fact is that, in the real world, physiological signals may be influenced by human movement and therefore, they cannot be used as a unique indicative of emotions. In this paper, we investigate the influence of human movement on ER using physiological signals. We compare different measures of emotion before and after a test person has performed some physical activity (e.g. walking, going upstairs). We discuss the main differences between recognizing emotions in the lab and the real world and provide new insights into the development of ER systems in real-world scenarios.
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