Proof of Concept and Validation of Single-Camera AI-Assisted Live Thumb Motion Capture

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 15; p. 4633
• Main Authors: Dinh, Huy G., Zhou, Joanne Y., Benmira, Adam, Kenney, Deborah E., Ladd, Amy L.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.07.2025; MDPI
• Subjects: Accuracy; Adult; Arthrometry, Articular - methods; Artificial Intelligence; Biomechanical Phenomena - physiology; Cameras; Carpometacarpal Joints - physiology; Female; Fingers & toes; hand measurement; Humans; Joint surgery; Male; Motion; motion analysis; Motion Capture; Movement - physiology; Proof of Concept Study; Range of motion; Range of Motion, Articular - physiology; Smartphones; Thumb - physiology; thumb measurement; United States > US; telemedicine; carpometacarpal joint; hand measurement; thumb measurement; range of motion; hand pose estimation; motion capture; artificial intelligence; motion analysis

Motion analysis can be useful for multiplanar analysis of hand kinematics. The carpometacarpal (CMC) joint has been traditionally difficult to capture with surface-based motion analysis but is the most commonly arthritic joint of the hand and is of particular clinical interest. Traditional 3D motion...