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...

Full description

Saved in:
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/
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items