Abstract
Physical activity is an important part of the healthy development of children, improving physical, social and emotional health. One of the main challenges faced by physical educators is the assembling of a physical education program that is compelling to all individuals in a diverse group. Recent advances in Human Activity Recognition (HAR) methods and wearable technologies allow for accurate monitoring of activity levels and engagement in physical activities. In this work, we present a platform for assessing the engagement of participants in physical education activities, based on a wearable IoT device, a machine learning HAR classifier and a comprehensive experiment involving 14 diverse volunteers that resulted in about 1 million data samples. Targeting at a replicable research, we provide full hardware information and system source code.
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de Pinho André, R., Raposo, A.B., Fuks, H. (2019). A Platform for Assessing Physical Education Activity Engagement. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_42
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DOI: https://doi.org/10.1007/978-3-030-11051-2_42
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