A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.
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Updated
Dec 20, 2023 - Jupyter Notebook
A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.
An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.
Backing project for the Active Muscle Stimulator device.
Matlab based motion pattern generation for wireless networks
Spontaneous Movements' Initiation under Temporal uncertainty
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