Automatic rehabilitation assessment method of upper limb motor function based on posture and distribution force
Jing Bai,
Guocheng Li,
Xuanming Lu
et al.
Abstract:The clinical rehabilitation assessment methods for hemiplegic upper limb motor function are often subjective, time-consuming, and non-uniform. This study proposes an automatic rehabilitation assessment method for upper limb motor function based on posture and distributed force measurements. Azure Kinect combined with MediaPipe was used to detect upper limb and hand movements, and the array distributed flexible thin film pressure sensor was employed to measure the distributed force of hand. This allowed for the… Show more
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