Poster Abstract: A Computer Vision System for Human Motion Monitoring on a Bicycle Trainer
Authors: 
Marcin Dziadosz, Mariusz Mazurek, Tomasz Rymarczyk, Dariusz Wójcik, Paweł OlszewskiAuthors Info & Claims
Pages 859 - 860
Abstract
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.
References
[1]
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, Wan-Teh Chang, Wei Hua, Manfred Georg, and Matthias Grundmann. 2019. MediaPipe: A Framework for Building Perception Pipelines.
[2]
Jonathan Lwowski, Abhijit Majumdar, Patrick Benavidez, John Prevost, and Mo Jamshidi. 2020. HTC Vive Tracker: Accuracy for Indoor Localization. IEEE Systems, Man, and Cybernetics Magazine 6, (October 2020), 15--22.
[3]
Susanne Van der Veen and James Thomas. 2021. A Pilot Study Quantifying Center of Mass Trajectory during Dynamic Balance Tasks Using an HTC Vive Tracker Fixed to the Pelvis. Sensors 21, (December 2021), 8034.
Index Terms
- Poster Abstract: A Computer Vision System for Human Motion Monitoring on a Bicycle Trainer
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Information
Published In
November 2024
950 pages
ISBN:9798400706974
DOI:10.1145/3666025
- Chair:
- Jie Liu,
- Co-chairs:
- Yuanchao Shu,
- Jiming Chen,
- Program Chair:
- Yuan He,
- Program Co-chair:
- Rui Tan
Copyright © 2024 Copyright held by the owner/author(s).
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).
Sponsors
- SIGARCH: ACM Special Interest Group on Computer Architecture
- SIGBED: ACM Special Interest Group on Embedded Systems
- SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 November 2024
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- Poster
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SenSys '24
SenSys '24: 22nd ACM Conference on Embedded Networked Sensor Systems
November 4 - 7, 2024
Hangzhou, China
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Overall Acceptance Rate 174 of 867 submissions, 20%
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