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

Gait recovery after stroke is a primary goal of rehabilitation, therefore it is imperative to develop technologies that accurately identify gait impairments after stroke. Markerless motion capture (MMC) is an emerging technology that has been validated in healthy individuals. Our study aims to evalu...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Balsam J. Alammari, Brandon Schoenwether, Zachary Ripic, Neva Kirk-Sanchez, Moataz Eltoukhy, Lauri Bishop
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	stroke artificial intelligence motion capture biomechanics gait spatiotemporal parameters
Online Access:	https://www.mdpi.com/1424-8220/25/17/5315