A Novel Ubiquitous Workout Training and Education Framework– Workout/Health/Music Systems
Hong-Hsu Yen, Jia-Ling Lee, Wen-Chih Lee, Zong-Ru Fei, Shih Hsin University, Taiwan
EdMedia + Innovate Learning, in Montreal, Quebec, Canada ISBN 978-1-939797-16-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
A new novel Ubiquitous Workout/Health/Music (UWHM) system, is proposed to improve the workout experience and performance via the music with matched tempo. This UWHM system includes the smartphone App and the UWHM cloud that can learn and predict the user workout behavior. UWHM system is able to capture the user workout behavior and identify the music with matched tempo to play at the right time. The learning algorithm is based on the user workout information and user feedback information to construct the user workout behavior profile. When the GPS location data is not available, we could predict the user running speed and total distance information based on the user past workout profile and feedback information. Then, the music with the matched tempo is identified and pushed to the user’s smartphone. Based on the preliminary data from 200 SHU undergraduate students in eight week experiment, we found that the UWHM system could significantly improve the workout time and performance.
Yen, H.H., Lee, J.L., Lee, W.C. & Fei, Z.R. (2015). A Novel Ubiquitous Workout Training and Education Framework– Workout/Health/Music Systems. In S. Carliner, C. Fulford & N. Ostashewski (Eds.), Proceedings of EdMedia 2015--World Conference on Educational Media and Technology (pp. 1943-1950). Montreal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE).
© 2015 Association for the Advancement of Computing in Education (AACE)
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