Gait Analysis Using an Artificial Intelligence-Based Motion Capture System With a Single Smartphone Camera
Our findings suggest that an AI-based motion capture system using a single smartphone camera may provide reliable gait parameters for certain applications.
Authors
- Nobuyuki Suzuki (ORCID: https://orcid.org/0000-0002-3533-038X)
- Takuya Usami (ORCID: https://orcid.org/0009-0007-5410-2706)
- Gen Kuroyanagi (ORCID: https://orcid.org/0000-0002-1940-0085)
- Haruhiko Tokuda (ORCID: https://orcid.org/0000-0001-7552-9003)
- Ruido Ida
- Hideki Murakami (ORCID: https://orcid.org/0000-0003-0515-540X)
- Masaya Kisohara (ORCID: https://orcid.org/0000-0003-3454-0542)
- Kazuki Nishida (ORCID: https://orcid.org/0000-0003-0367-8557)
- Keiko Matsubara (ORCID: https://orcid.org/0000-0001-6254-9216)
- Daishiro Koboyashi
Institutions
- Nagoya City University (JP)
- Nagoya University Hospital (JP)
- Japan Sport Council (JP)
- Kijabe Hospital (KE)
- Nagoya City University Hospital (JP)
- National Center for Geriatrics and Gerontology (JP)
Publication Details
- Journal
- Cureus
- Published
- 2025-07-13
- DOI
- https://doi.org/10.7759/cureus.87837
- Citations
- 2
- Primary Topic
- Gait Recognition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.35