Personalized Video-Based Hand Taxonomy Using Egocentric Video in the Wild
This methodology provides a flexible and effective strategy to analyze hand function in the wild, with applications in clinical assess- ment and in-depth characterization of human-environment interactions in a variety of contexts.
Authors
- David J. Fleet (ORCID: https://orcid.org/0000-0003-0734-7114)
- José Zariffa (ORCID: https://orcid.org/0000-0002-8842-745X)
- Mehdy Dousty (ORCID: https://orcid.org/0000-0001-6738-1651)
Institutions
- University Health Network (CA)
- University of Toronto (CA)
- Toronto Rehabilitation Institute (CA)
Publication Details
- Journal
- IEEE Journal of Biomedical and Health Informatics
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1109/jbhi.2024.3495699
- Citations
- 2
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.74
Funders
- Craig H. Neilsen Foundation
- Rick Hansen Institute
- Natural Sciences and Engineering Research Council of Canada