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 |
Files in This Item:
File | Description | Size | Format | |
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Fitness_Mate_Intelligent_workout_assistant_using_motion_detection.pdf Until 2050-12-31 | 630.81 kB | Adobe PDF | View/Open Request a copy |
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