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Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology

1
Department of Computer Architecture and Technology, CITIC-UGR Research Center, University of Granada, 18071 Granada, Spain
2
Mind, Brain & Behavior Research Center, University of Granada, 18071 Granada, Spain
3
Department of Psychology, Loyola University Andalusia, 41014 Seville, Spain
*
Author to whom correspondence should be addressed.
Presented at the 12th International Conference on Ubiquitous Computing and Ambient ‪Intelligence (UCAmI 2018), Punta Cana, Dominican Republic, 4–7 December 2018.‬‬‬‬‬‬
Proceedings 2018, 2(19), 1202; https://doi.org/10.3390/proceedings2191202
Published: 18 October 2018
(This article belongs to the Proceedings of UCAmI 2018)
The fluctuation of affective states is a contributing factor to sport performance variability. The context surrounding athletes during their daily life and the evolution of their physiological variables beyond sport events are relevant factors, as they modulate the affective state of the subject over time. However, traditional procedures to assess the affective state are limited to self-reported questionnaires within controlled settings, thus removing the impact of the context. This work proposes a multimodal, context-aware platform that combines the data acquired through smartphones and wearable sensors to assess the affective state of the athlete. The platform is aimed at ubiquitously monitoring the fluctuations of affective states during longitudinal studies within naturalistic environments, overcoming the limitations of previous studies and allowing for the complete evaluation of the factors that could modulate the affective state. This system will also facilitate and expedite the analysis of the relationship between affective states and sport performance.
Keywords: affective states; sport performance; mobile sensing; smartphone; wearable sensors; mHealth; context modeling affective states; sport performance; mobile sensing; smartphone; wearable sensors; mHealth; context modeling
MDPI and ACS Style

Bailon, C.; Damas, M.; Pomares, H.; Sanabria, D.; Perakakis, P.; Goicoechea, C.; Banos, O. Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology. Proceedings 2018, 2, 1202.

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