Sign in
Validity of AI-Driven Markerless Motion Capture for Spatiotemporal Gait Analysis in Stroke Survivors
Journal article   Open access   Peer reviewed

Validity of AI-Driven Markerless Motion Capture for Spatiotemporal Gait Analysis in Stroke Survivors

Balsam J. Alammari, Brandon Schoenwether, Zachary Ripic, Neva Kirk-Sanchez, Moataz Eltoukhy and Lauri Bishop
Sensors (Basel, Switzerland), Vol.25(17), p.5315
2025-08-27
PMID: 40942744

Abstract

stroke artificial intelligence motion capture biomechanics gait spatiotemporal parameters markerless motion capture
url
https://doi.org/10.3390/s25175315View
Published (Version of record) Open

Details

Logo image