There is a developing interdisciplinary research field trying to provide advanced technological support to various sports activities. This support is focused mainly to professional elite athletes but is considering also about training in sports academies, gyms even about amateur athletes practicing at home. Advanced training can now be carried out using low-cost technology that can produce useful data for researchers and coaches. Sports data collected from athlete’s skeletal tracking, movement analysis and physiological measurements may prove a valuable tool for motor and technical skills development. In addition, there is an increasing interest from coaches and sports academies to enrich sport activities by utilizing the use of serious exer-games and applications of augmented reality in order to provide a more intelligent, personalized and immersive training environment. In this paper a smart platform is proposed which collects athlete’s bio-signals and data from visualization of skeletal movement, it analyses them and it provides affective and sport analytics feedback through application interfaces.
CITATION STYLE
Tsiatsos, T., Apostolidis, I., Politopoulos, N., Chaldogeridis, A., & Stamelos, I. (2021). Work in Progress. SportSWARES, Towards an Intelligent Way of Physical Training. In Advances in Intelligent Systems and Computing (Vol. 1192 AISC, pp. 507–513). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-49932-7_48
Mendeley helps you to discover research relevant for your work.