Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study
Overall, we quantified similarities between one AI-based approach to motion capture and a known standard for tracking fine upper limb movements, informing applications of such systems in domains such as clinical and research settings. Future work should address accuracy in 3 dimensions to further validate the use of AI-based systems, including MediaPipe, in such domains.
Authors
- Sarah N. Kraeutner (ORCID: https://orcid.org/0000-0002-6552-6682)
- Matthew W. Scott (ORCID: https://orcid.org/0000-0003-1062-3490)
- Vaidehi Wagh
Institutions
- University of British Columbia (CA)
- Okanagan University College (CA)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2024-12-17
- DOI
- https://doi.org/10.2196/56682
- Citations
- 16
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 4.00
Funders
- Mitacs
- Natural Sciences and Engineering Research Council of Canada