Bioengineering· 2026Q2
Identification of Gait Abnormalities in Patients with Hip Osteoarthritis Using a Monocular Vision 3D Motion Capture System
- 0citations
- Q2SCImago
- 2026year
Short summary
An AI-driven system using monocular video (MYoACT) accurately measures joint angles and identifies gait abnormalities in hip osteoarthritis (OA) patients, showing no significant difference in accuracy compared to optical 3D motion capture (MOCAP).
AI-generated from the title and abstract; the full text is not read.
Key points
- AI-driven MYoACT application accurately measures joint angles from monocular video in hip OA patients.
- Accuracy of MYoACT in measuring joint angles showed no significant difference between hip OA patients and healthy participants.
- Gait abnormality scores (mGAS) calculated from MYoACT video data were consistent with those from optical 3D motion capture (MOCAP) in hip OA patients.
- The study utilized open-access datasets of 20 hip OA patients and 20 healthy participants.
AI-generated from the title and abstract; the full text is not read.
Abstract
This study aimed to compare the accuracy of video-based kinematic measurements using artificial intelligence (AI) between patients with hip osteoarthritis (OA) and healthy participants, and to compare the gait abnormality estimated from video data with that calculated using optical three-dimensional motion capture (MOCAP) data. This study used open-access datasets of MOCAP and video data including 20 patients with hip OA and 20 healthy participants. Video data were processed using the MYoACT application to extract marker data. The mean absolute error (MAE) of joint angles between MOCAP and MYoACT data was calculated. In patients with hip OA, the modified Gait Abnormality Score (mGAS) for each joint angle was calculated by averaging the absolute differences between each patient’s value and the mean value of healthy participants, divided by the standard deviation of healthy participants, across the entire gait cycle. No significant difference in the MAE was observed between groups. In patients with hip OA, the mGAS showed no significant difference between MYoACT and MOCAP data. These findings suggest that AI-driven video-based kinematic measurements show no clear difference in the accuracy between patients with hip OA and healthy participants, and demonstrate the potential to identify gait abnormalities.
The authors' abstract, as published at the source. Bioengineering, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Physical Therapy, Sports Therapy and Rehabilitation
Physical Therapy, Sports Therapy and RehabilitationHealth Professions