Poster Abstract: A Computer Vision System for Human Motion Monitoring on a Bicycle Trainer
During the first stage of the project a computer vision system for human motion tracking was developed. For its implementation, a pair of cameras and a bicycle trainer are required. Human movement is monitored in real time by an effective algorithm that determines the key angles between the joints of a person exercising on a bike trainer. The following phase of the work focused on comparing the discussed system with a reference professional set, based on human motion sensors. The gathered data was then further analysed and compared, indicating that the accuracy of the developed system is fully satisfactory.
Authors
- Mariusz Mazurek (ORCID: https://orcid.org/0000-0002-9646-6897)
- Tomasz Rymarczyk (ORCID: https://orcid.org/0000-0002-3524-9151)
- Paweł Olszewski (ORCID: https://orcid.org/0000-0002-1015-1190)
- Dariusz Wójcik (ORCID: https://orcid.org/0000-0002-4200-3432)
- Marcin Dziadosz (ORCID: https://orcid.org/0000-0002-0506-6653)
Institutions
- University of Economics and Innovation (PL)
- Institute of Philosophy and Sociology (PL)
- Lublin University of Technology (PL)
- Polish Academy of Sciences (PL)
Publication Details
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1145/3666025.3699407
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00