Abstract
Competitive sports generate powerful emotional responses among both participants and spectators. It also has been proven that the emotions experienced by players prior to and during the sports can have a profound effect upon the quality of their performances, especially in competitive sports like tennis which has been described as an emotionally demanding game where emphasis is given on training of player’s mentality for their success. Successful measurement of emotions is a challenging task and there have been a very few research on measurement of emotions using technology in sports. This paper reports the use of two wearable technology, Apple Watch Series 2 and NeuroSky MindWave headset, in measuring emotional responses amongst tennis players. Experiments were conducted to measure the heart rates and EEG (electroencephalography) responses to categorise emotions and then to compare the results with the subjective ground truths scored by each participant. The results demonstrate statistically significant relationships between the objective and subjective measures of emotions indicating the use of wearable devices as a legitimate method of measuring emotional responses in a competitive sport like tennis.
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J. Hassard, K. Teoh, T. Cox, P. Dewe, M. Cosmar et al., Calculating the cost of work-related stress and psychosocial risks. European Agency for Safety and Health at Work, Luxembourg: Publications Office of the European Union (2014)
Y.L. Hanin, Emotions in Sport (Human Kinetics Pub, Champaign, 2000)
Y.L. Hanin, Coping with anxiety in sport, in Coping in Sport: Theory, Methods and Related Constructs, ed. by A. R. Nicholls (Nova Science Publishers, Inc, New York, 2010), pp. 159–175
R.S. Lazarus, How emotions influence performance in competitive sports. Sport Psychol. 14, 229–252 (2000)
M.A. Uphill, A.M. Lane, M.V. Jones, Emotion regulation questionnaire for use with athletes. Psychol. Sport Exerc. 13, 761–770 (2012)
M.S. Kovacs, Applied physiology of tennis performance. Br. J. Sports Med. 40(5), 381–386 (2006)
J.E. Loehr, The Mental Game (Penguin Books, London, 1990)
S. Kovalchik, M. Reid, Going inside the inner game: predicting the emotions of professional tennis players from match broadcasts. in Sports Analytics Conference, 2018
G. Abt, J. Bray, A.C. Benson, The validity and inter-device variability of the Apple Watch™ for measuring maximal heart rate. J. Sports Sci. 36(13), 1447–1452 (2017)
K. Crowley, A. Sliney, I. Pitt, D. Murphy, Evaluating a brain-computer interface to categorise human emotional response. in IEEE 10th Int. Conf. on Advanced Learning Technologies, Sousse, Tunisia (2010)
F.J.G.M. Klaassen, J.R. Magnus, Are Points in Tennis Independent and Identically Distributed? Evidence from a dynamic binary panel data model. J. Am. Stat. Assoc. 96(454), 500–509 (2001)
S. Kovalchik, M. Ingram, Hot heads, cool heads and tacticians: measuring the mental game in tennis. in MIT Sloan, Sports Analytics Conference (2016)
S. Laborde, M. Raab, F. Dosseville, Emotions and performance: Valuable insights from the sport domain, in Psychology of Performance (Nova Publishers, New York, 2013)
A. Landowska, G. Brodney, M.R. Wrobel, Limitations of emotion recognition from facial expressions in e-learning context. in 9th International Conference on Computer Supported Education, Porto, Portugal (2017), pp. 383–389
M. Zhao, F. Adib, D. Katabi, Emotion Recognition using Wireless Signals. in 22nd Annual Int. Conf. on Mobile Computing and Networking, New York (2016), pp. 95–108
H. Yoon, S.W. Park, Y.K. Lee, J.H. Jang, Emotion recognition of serious game players using a simple brain computer interface. in Int. Conf. on ICT Convergence, South Korea (2013)
M.M. Bradley, P.J. Lang, Measuring emotion: behaviour feeling and physiology, in Cognitive Neuroscience of Emotion, (Oxford University Press, Oxford, 2000), pp. 242–276
B. Geethanjali, K. Adalarasu, A. Hemapraba, S.P. Kumar, R. Rajasekeran, Emotion analysis using SAM (self-assessment manikin) scale. Biomed. Res. 2017, S18–S24 (2017)
F. Stevens, D.T. Murphy, S.L. Smith, The self-assessment manikin and heart rate: responses to auralised soundscapes. in Interactive Audio System Symposium, York (2016)
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Azhar, M.A.H., Nelson, T., Casey, A. (2020). Use of Wearable Technology to Measure Emotional Responses Amongst Tennis Players. In: Zheng, P., Callaghan, V., Crawford, D., Kymäläinen, T., Reyes-Munoz, A. (eds) EAI International Conference on Technology, Innovation, Entrepreneurship and Education. TIE 2017. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-16130-9_6
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DOI: https://doi.org/10.1007/978-3-030-16130-9_6
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