Image 4_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg

Image 4_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg

<p>As societies age, the number of individuals experiencing stroke increases, necessitating more effective rehabilitation strategies. Over half of stroke survivors suffer from upper limb impairments, making assessments of sensory-motor function crucial for both improving interventions and trac...

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Bibliographic Details
Main Author: Tim Unger (20457145) (author)
Other Authors: Benjamin Kühnis (20457139) (author), Lena Sauerzopf (18779775) (author), Martina R. Spiess (18779784) (author), Alexander de Spindler (22617782) (author), Andreas R. Luft (7391093) (author), Chris Easthope Awai (22617785) (author), Josef G. Schönhammer (20457151) (author), Elena Gavagnin (20457142) (author)
Published: 2025
Subjects:
Foetal Development and Medicine
stroke
assessments
movement quality
upper limb
artificial intelligence
computer vision
human pose estimation
webcam
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