A Gait Sub-Phase Switching-Based Active Training Control Strategy and Its Application in a Novel Rehabilitation Robot

A Gait Sub-Phase Switching-Based Active Training Control Strategy and Its Application in a Novel Rehabilitation Robot

This research study proposes a heuristic hybrid deep neural network (DNN) gait sub-phase recognition model based on multi-source heterogeneous motion data fusion which quantifies gait phases and is applied in balance disorder rehabilitation control, achieving a recognition accuracy exceeding 99%. Bu...

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Bibliographic Details
Main Authors: Junyu Wu, Ran Wang, Zhuoqi Man, Yubin Liu, Jie Zhao, Hegao Cai
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Biosensors
Subjects:
rehabilitation robot for balance disorders
gait phase identification
heuristic DNN
multi-sensor motion information fusion
variable admittance control strategy
Online Access:https://www.mdpi.com/2079-6374/15/6/356
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