Hybrid System of Emotion Evaluation in Physiotherapeutic Procedures
1
Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
2
Institute of Psychology, University of Silesia in Katowice, Bankowa 12, 40-007 Katowice, Poland
3
Institute of Physiotherapy and Health Sciences, The Jerzy Kukuczka Academy of Physical Education in Katowice, Mikołowska 72A, 40-065 Katowice, Poland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(21), 6343; https://doi.org/10.3390/s20216343
Received: 10 October 2020
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Revised: 2 November 2020
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Accepted: 4 November 2020
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Published: 6 November 2020
(This article belongs to the Special Issue Multimodal Sensing for Understanding Behavior and Personality)
Nowadays, the dynamic development of technology allows for the design of systems based on various information sources and their integration into hybrid expert systems. One of the areas of research where such systems are especially helpful is emotion analysis. The sympathetic nervous system controls emotions, while its function is directly reflected by the electrodermal activity (EDA) signal. The presented study aimed to develop a tool and propose a physiological data set to complement the psychological data. The study group consisted of 41 students aged from 19 to 26 years. The presented research protocol was based on the acquisition of the electrodermal activity signal using the Empatica E4 device during three exercises performed in a prototype Disc4Spine system and using the psychological research methods. Different methods (hierarchical and non-hierarchical) of subsequent data clustering and optimisation in the context of emotions experienced were analysed. The best results were obtained for the k-means classifier during Exercise 3 (80.49%) and for the combination of the EDA signal with negative emotions (80.48%). A comparison of accuracy of the k-means classification with the independent division made by a psychologist revealed again the best results for negative emotions (78.05%).
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Keywords:
electrodermal activity; GSR; emotions analysis; psychological analysis; JAWS; clusterisation
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MDPI and ACS Style
Romaniszyn-Kania, P.; Pollak, A.; Danch-Wierzchowska, M.; Kania, D.; Myśliwiec, A.P.; Piętka, E.; Mitas, A.W. Hybrid System of Emotion Evaluation in Physiotherapeutic Procedures. Sensors 2020, 20, 6343. https://doi.org/10.3390/s20216343
AMA Style
Romaniszyn-Kania P, Pollak A, Danch-Wierzchowska M, Kania D, Myśliwiec AP, Piętka E, Mitas AW. Hybrid System of Emotion Evaluation in Physiotherapeutic Procedures. Sensors. 2020; 20(21):6343. https://doi.org/10.3390/s20216343
Chicago/Turabian StyleRomaniszyn-Kania, Patrycja, Anita Pollak, Marta Danch-Wierzchowska, Damian Kania, Andrzej P. Myśliwiec, Ewa Piętka, and Andrzej W. Mitas. 2020. "Hybrid System of Emotion Evaluation in Physiotherapeutic Procedures" Sensors 20, no. 21: 6343. https://doi.org/10.3390/s20216343
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