Abstract
In this paper we introduced treadmill equipment which can be controlled by users’ exercise experience. First, we captured users’ facial expression and physiological signals such as heart rate (HR) from the camera and HR monitor settled on the treadmill in front of user. Then, we used Hidden Markov Model and Kalman filter to extract user experience from his expression and HR by computer analysis. After this, we measured user’s performance according to the exercise guidelines of American College of Sports Medicine (ACSM) and control the parameter of treadmill dynamically. In addition, our treadmill can be connected through Internet and provide the same virtual exercise environment for multiplayer.
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Yang, L., Xiang, N. (2013). Treadmill’s Adjustment Mechanism Based on User Exercise Experience. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 2. Lecture Notes in Electrical Engineering, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35567-7_40
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DOI: https://doi.org/10.1007/978-3-642-35567-7_40
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