Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2131
Title: Fitness Mate: Intelligent workout assistant using motion detection
Authors: Madanayake, P. S
Wickramasinghe, W. A. D. K
Liyanarachchi, H. P
Herath, H. M. D. M
Karunasena, A
Perera, T. D
Keywords: Fitness Mate
Intelligent
workout
assistant
motion detection
Issue Date: 16-Dec-2016
Publisher: IEEE
Citation: P. S. Madanayake, W. A. D. K. Wickramasinghe, H. P. Liyanarachchi, H. M. D. M. Herath, A. Karunasena and T. D. Perera, "Fitness Mate: Intelligent workout assistant using motion detection," 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016, pp. 1-5, doi: 10.1109/ICIAFS.2016.7946559.
Series/Report no.: 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS);Pages 1-5
Abstract: Engaging in physical exercises such as weight training and physiotherapy stretching exercises at home requires proper execution and awareness of the exercises. One of the main problems in engaging exercises at home is that there is no proper guidance and feedback provided to align the exercises to the correct movements due to the absence of a physical trainer. This paper discusses how a system, namely Fitness Mate is designed and implemented to enable users to engage in physical exercises without the presence of a physical trainer. Visual C#, Matlab programming language, and Unity game engine are the technologies used to develop the system. The main goal is to provide a home-based environment where people can engage in physical exercise without the presence of a physical trainer and to avoid adverse physical injuries.
URI: http://rda.sliit.lk/handle/123456789/2131
ISSN: 2151-1810
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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