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...

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Autori principali: Balsam J. Alammari, Brandon Schoenwether, Zachary Ripic, Neva Kirk-Sanchez, Moataz Eltoukhy, Lauri Bishop
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-08-01
Serie:Sensors
Soggetti:
stroke
artificial intelligence
motion capture
biomechanics
gait
spatiotemporal parameters
Accesso online:https://www.mdpi.com/1424-8220/25/17/5315
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