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

The wearable exoskeleton robot collects human movement data through IMU sensors placed on the thigh and calf. This data includes information on angles, acceleration, and plantar pressure. The dataset supports research on gait phase recognition across various terrains.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-04
DOI
https://doi.org/10.5281/zenodo.14032853
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Prosthetics and Rehabilitation Robotics
article

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

article en

Abstract

The wearable exoskeleton robot collects human movement data through IMU sensors placed on the thigh and calf. This data includes information on angles, acceleration, and plantar pressure. The dataset supports research on gait phase recognition across various terrains.

Zenodo (CERN European Organization for Nuclear Research)
Hubei University of Technology (CN)
Openalex Percentile: Top 72%
Prosthetics and Rehabilitation Robotics
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Robust Multi-Scale Depthwise Separable with Dual-Reservoir Bi-LSTM Model for Gait Phase Recognition Across Complex Terrains · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS