View Item 

Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs

Access Status
Open access
Authors
Date
2014
Type
Conference Paper

Metadata
Show full item record
Citation
Abhayasinghe, K. and Murray, I. 2014. Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs, in Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Apr 21-24 2014. Singapore: IEEE.
Source Title
Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Source Conference
Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
DOI
School
Department of Electrical and Computer Engineering
Remarks

Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

URI
Collection
Abstract

Human gait analysis is a major topic in pedestrian navigation and geriatric care. Identifying gait phases is important in using human gait for pedestrian navigation and tracking. Most of existing gait phase identification techniques use multiple sensor modules attached to each section of the lower body. This paper discusses the feasibility of recognizing gait phases using a single inertial measurement unit (IMU) placed in a trouser pocket of the subject. The movement of the thigh is computed by fusing accelerometer and the gyroscopic data gathered from the IMU. Experimental results indicated that most of the major gait phases such as Initial Contact, Load Response, Mid Stance, Terminal Stance, Pre-Swing and Swing can be identified by the movement of one thigh tracked by an IMU. It was also noted that the movement of the offside leg can also be estimated from the fused IMU data. This paper presents a method to recognize all major phases of human stride cycle during walking from movement of one thigh.