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Deep learning-based approaches for human motion decoding in smart walkers for r...
Gonçalves, Carolina; Lopes, João Pedro Mendes; Moccia, Sara; Berardini, Daniele; Migliorelli, Lucia; Santos, CristinaGait disabilities are among the most frequent impairments worldwide. Their treatment increasingly relies on rehabilitation therapies, in which smart walkers are being introduced to empower the user’s recovery state and autonomy, while reducing the clinicians effort. For that, these should be able to decode human motion and needs, as early as possible. Current walkers decode motion intention using information ga...
Date: 2023
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Origin: RepositóriUM - Universidade do Minho