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Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
Promising results were attained for early action detection as a human motion decoding strategy, with enhancements in the focus of the proposed architectures.
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks
We present a novel approach to patient monitoring and data-driven human-in-the-loop control in the context of smart walkers.
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