Abstract
Emotion Recognition is the process of identifying human emotions. Facial expression recognition and human speech are the most common methods used for this process. However, one of the most recent development in this field is the use of physiological signals to recognize human emotions. In this paper an overview of emotion recognition using physiological signals is presented. These signals include Electrocardiogram, Electromyogram, Galvanic skin response etc. The problems encountered during various stages of emotion recognition are discussed along with their solutions. These solutions are then compared with each other.
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Sharma, M., Mathew, R. (2020). Emotion Recognition Using Physiological Signals. In: Pandian, A., Palanisamy, R., Ntalianis, K. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). ICCBI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-43192-1_45
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DOI: https://doi.org/10.1007/978-3-030-43192-1_45
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