Towards the Development of Affective Recognition Using Heart Sound Signal: A Proposal

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI:10.1109/ICCED56140.2022.10010662

Z. Suryady, A. Wahab, Dini Oktarina DwiHandayani

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Abstract

In recent years, the development of physiological-based human emotion is centre around the use of Electroencephalogram (EEG) as the main modality. However, heart sound signal (also referred to as Phonocardiography) offersunique and reliable advantages to infer emotions. As one of thephysiological parameters, heart signals may infer emotions andcan be used for emotion recognition. In addition, the use of heartsound signals for emotion recognition is substantially cheaper,and the process of acquiring the signal for heart sound analysis iscomfortable as compared to physiological measures.Nevertheless, the use of Phonocardiography (PCG) in the emotionrecognition domain is still scarce in the research literature. Therefore, this work conducts a review on affective computing ingeneral and discusses how emotions are described and thecommon procedure used to elicit emotion. We also highlight howfar the PCG has been used in the domain of affective computing.Finally, we propose the framework and methodology to develophuman emotion recognition using heart sound signals.

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利用心音信号发展情感识别:一个建议

近年来，基于生理的人类情感研究的发展以脑电图(EEG)为主要模式为中心。然而，心音信号(也被称为心音图)为推断情绪提供了独特而可靠的优势。作为生理参数之一，心脏信号可以推断情绪，并可用于情绪识别。此外，使用心音信号进行情绪识别的成本要低得多，而且与生理测量相比，获取心音信号进行分析的过程不舒服。然而，心音图(PCG)在情绪识别领域的应用在研究文献中仍然很少。因此，本工作对情感计算进行了综述，并讨论了如何描述情绪以及用于引发情绪的常见程序。我们还强调了PCG在情感计算领域的应用。最后，我们提出了利用心音信号发展人类情感识别的框架和方法。

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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2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)

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