A Robust Multi-Scale Depthwise Separable With Dual-Reservoir Bi-LSTM Model for Gait Phase Recognition Across Complex Terrains

A Robust Multi-Scale Depthwise Separable With Dual-Reservoir Bi-LSTM Model for Gait Phase Recognition Across Complex Terrains

Gait phase recognition plays a pivotal role in improving wearable exoskeletons by providing phase-specific assistance to enhance human movement. This study proposes a novel model, the Multi-Scale Depthwise Separable Convolution with Dual-Reservoir Bi-directional Long Short-Term Memory (MSDSC-DR-BiLS...

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Bibliographic Details
Main Authors: Jing Tang, Zequan Jiang, Chen Yao, Minghu Wu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multi-scale convolution
dual reservoir
BiLSTM
focal loss
gait phase recognition
Online Access:https://ieeexplore.ieee.org/document/10884733/
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https://ieeexplore.ieee.org/document/10884733/

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