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通过心电图信号进行压力检测来改善情绪健康护理系统。

Improvement of emotional healthcare system with stress detection from ECG signal.

作者信息

Tivatansakul S, Ohkura M

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6792-5. doi: 10.1109/EMBC.2015.7319953.

DOI:10.1109/EMBC.2015.7319953
PMID:26737853
Abstract

Our emotional healthcare system is designed to cope with users' negative emotions in daily life. To make the system more intelligent, we integrated emotion recognition by facial expression to provide appropriate services based on user's current emotional state. Our emotion recognition by facial expression has confusion issue to recognize some positive, neutral and negative emotions that make the emotional healthcare system provide a relaxation service even though users don't have negative emotions. Therefore, to increase the effectiveness of the system to provide the relaxation service, we integrate stress detection from ECG signal. The stress detection might be able to address the confusion issue of emotion recognition by facial expression to provide the service. Indeed, our results show that integration of stress detection increases the effectiveness and efficiency of the emotional healthcare system to provide services.

摘要

我们的情绪健康护理系统旨在应对用户日常生活中的负面情绪。为了使系统更智能,我们集成了基于面部表情的情绪识别功能,以便根据用户当前的情绪状态提供适当的服务。我们基于面部表情的情绪识别在识别一些积极、中性和负面情绪时存在混淆问题,这使得情绪健康护理系统会在用户没有负面情绪的情况下提供放松服务。因此,为了提高系统提供放松服务的有效性,我们集成了基于心电图信号的压力检测功能。压力检测或许能够解决基于面部表情的情绪识别中的混淆问题,从而提供相应服务。事实上,我们的结果表明,集成压力检测提高了情绪健康护理系统提供服务的有效性和效率。

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