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Open AccessArticle

Coverage of Emotion Recognition for Common Wearable Biosensors

Department of Biomedical Engineering, School of Biological Sciences, The University of Reading, Reading RG6 6AY, UK
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Biosensors 2018, 8(2), 30; https://doi.org/10.3390/bios8020030
Received: 20 February 2018 / Revised: 16 March 2018 / Accepted: 22 March 2018 / Published: 24 March 2018
(This article belongs to the Special Issue Latest Wearable Biosensors)
The present research proposes a novel emotion recognition framework for the computer prediction of human emotions using common wearable biosensors. Emotional perception promotes specific patterns of biological responses in the human body, and this can be sensed and used to predict emotions using only biomedical measurements. Based on theoretical and empirical psychophysiological research, the foundation of autonomic specificity facilitates the establishment of a strong background for recognising human emotions using machine learning on physiological patterning. However, a systematic way of choosing the physiological data covering the elicited emotional responses for recognising the target emotions is not obvious. The current study demonstrates through experimental measurements the coverage of emotion recognition using common off-the-shelf wearable biosensors based on the synchronisation between audiovisual stimuli and the corresponding physiological responses. The work forms the basis of validating the hypothesis for emotional state recognition in the literature and presents coverage of the use of common wearable biosensors coupled with a novel preprocessing algorithm to demonstrate the practical prediction of the emotional states of wearers. View Full-Text
Keywords: wearable biosensors; emotion recognition; emotion prediction; physiological specificity; basic emotions; PPG (photoplethysmography); EDA (electrodermal activity); EMG (electromyography); skin temperature; orienting response wearable biosensors; emotion recognition; emotion prediction; physiological specificity; basic emotions; PPG (photoplethysmography); EDA (electrodermal activity); EMG (electromyography); skin temperature; orienting response
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Hui, T.K.; Sherratt, R.S. Coverage of Emotion Recognition for Common Wearable Biosensors. Biosensors 2018, 8, 30.

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