Design and implementation of intelligent wearable system for lower limb rehabilitation robot

Aiming at the problems of poor comfort, narrow application range and complicated wearing of the existing lower limb rehabilitation equipment, an intelligent wearable device is designed in this paper. With reference to the size range of human lower limbs, smart wearables for different patients are designed and verified by experiments. Combined with 3D printing technology and airbag technology, the parts required for the experiment are made, the force situation is collected by the thin film pressure sensor, and the program is written and burned by Arduino. The results show that the device not only enhances the fit degree and comfort by using the compressibility of the air bag, but also increases the contact area between the exoskeleton and the lower limb, reduces the error caused by relative sliding, improves the personalized adaptation ability, and provides a new reference for the development of exoskeleton technology in the future.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/irac63143.2024.10871407
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and implementation of intelligent wearable system for lower limb rehabilitation robot

Ming Yang Huang, Shu Zhang
Stroke Rehabilitation and Recovery
article

Design and implementation of intelligent wearable system for lower limb rehabilitation robot

Ming Yang Huang, Shu Zhang
article en

Abstract

Aiming at the problems of poor comfort, narrow application range and complicated wearing of the existing lower limb rehabilitation equipment, an intelligent wearable device is designed in this paper. With reference to the size range of human lower limbs, smart wearables for different patients are designed and verified by experiments. Combined with 3D printing technology and airbag technology, the parts required for the experiment are made, the force situation is collected by the thin film pressure sensor, and the program is written and burned by Arduino. The results show that the device not only enhances the fit degree and comfort by using the compressibility of the air bag, but also increases the contact area between the exoskeleton and the lower limb, reduces the error caused by relative sliding, improves the personalized adaptation ability, and provides a new reference for the development of exoskeleton technology in the future.

Jiangsu University of Technology (CN)
Openalex Percentile: Top 68%
Stroke Rehabilitation and Recovery
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.

Design and implementation of intelligent wearable system for lower limb rehabilitation robot — Ming Yang Huang, Shu Zhang · (2024) | TGRS Research Map | TGRS