Abstract
The first instrument played by primary school students was their own bodies, utilizing techniques such as hitting, clapping, and rubbing. By employing gesture recognition techniques, body percussion can be controlled by capturing the specific movements required for each percussion exercise. In this paper, an ICT supplement for the study of body percussions at home is proposed. By utilizing an app running on smartphones or tablets, students can observe and listen to exercises provided by their teacher. Furthermore, they can practice and receive feedback on their performance errors through the apps. These functionalities are enabled by the implementation of Artificial Intelligence techniques for gesture recognition. Additionally, this proposal aims to surpass mere execution of body percussion exercises, focusing instead on the promotion of students’ psychomotor skill development.
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Bravo, P., Arias, A., Carneros-Prado, D., Dobrescu, C.C., Bravo, J. (2023). Enhancing Body Percussion Learning: An ICT Supplement for Home Practice Using Gesture Recognition. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-031-48306-6_30
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DOI: https://doi.org/10.1007/978-3-031-48306-6_30
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