Abstract
Emotions, on a regular basis, play an important role in our lives. Not only in the case of human activity in our everyday lives, but also in the decision-making process, emotions play an significant part. Emotions affect our view of the natural universe as well. Such thoughts are often initially assumed as meaningless. A slight change in emotion, though, will bring a big change in behavior. Nowadays, emotion detection with the assistance of physiological signal is an area of research. This paper is based on a wide-ranging review of biological signal-based emotion recognition. Many methodologies are recommended in various papers to understand human emotional states in an artificial way. Physiological signals such as galvanic skin reaction (GSR), electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), photoplethysmogram (PPG), respiration, and temperature of the skin are often used. In this article, on the basis of the physiological signal, the researchers will present a thorough analysis of emotion detection and suggest a workflow to classify multiple emotional analyses using various physiological signals to make the precision and output even better.
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Dutta, S., Mitra, A., Padhy, N., Khan, G. (2021). Review on Sensors for Emotion Recognition. In: Reddy, K.A., Devi, B.R., George, B., Raju, K.S. (eds) Data Engineering and Communication Technology. Lecture Notes on Data Engineering and Communications Technologies, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-16-0081-4_57
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DOI: https://doi.org/10.1007/978-981-16-0081-4_57
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