Real-time Gait Phase Detection and Estimation of Gait Speed and Ground Slope for a Robotic Knee Orthosis

Title
Real-time Gait Phase Detection and Estimation of Gait Speed and Ground Slope for a Robotic Knee Orthosis
Authors
김진수김승종최준호
Keywords
Rehabilitation; Robotic orthosis; Phase detection
Issue Date
2015-08
Publisher
ICORR 2015
Citation
, 392-397
Abstract
This paper introduces a lightweight knee assisting robot called “COWALK-M” and a control methodology using estimated ground slope and intended walking speed of the wearer. It is designed to assist stroke patients suffering from mild hemiplegia to move the paretic knee joint during Activities of Daily Living(ADL). The COWALK-M has various kinds of sensors including pressure sensors under the soles as well as encoders at the knee and ankle joints. These sensors are used to detect gait phases in real-time and finite state machine (FSM) is implemented for quiet standing and forward walking. Furthermore, ground slope as well as gait speed is estimated in order to provide the wearer with the most appropriate trajectory. To evaluate the performance of gait segmentation algorithm and gait speed/ground slope estimator, experiments on walking with and without a treadmill were conducted on five subjects under different speeds and different inclines. Despite a small number of sensors used, our method showed relatively high success rates for phase detection and a small error for estimators.
URI
http://pubs.kist.re.kr/handle/201004/50725
Appears in Collections:
KIST Publication > Conference Paper
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE