Jogging and walking analysis using wearable sensors
Gait analysis is a process of learning the motion of human and animal by using wearable sensor approach and vision approach. This analysis is mainly used in medical and sports field where the study of body parts is crucial. 3-space sen-sor is a sensor consists of accelerometer, gyroscope sensor and...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Published: |
Scientific Research
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/40393/ http://dx.doi.org/10.4236/eng.2013.55B005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.40393 |
---|---|
record_format |
eprints |
spelling |
my.utm.403932019-03-05T01:46:56Z http://eprints.utm.my/id/eprint/40393/ Jogging and walking analysis using wearable sensors Ching, Yee Yong Sudirman, Rubita Ab. Rahim, Ahmad Hazwan Mahmood, Nasrul Humaimi Kim, Mey Chew TK Electrical engineering. Electronics Nuclear engineering Gait analysis is a process of learning the motion of human and animal by using wearable sensor approach and vision approach. This analysis is mainly used in medical and sports field where the study of body parts is crucial. 3-space sen-sor is a sensor consists of accelerometer, gyroscope sensor and compass sensor, built in one device. In this study, 3-space sensor is used to collect data of walking and jogging motion, of a test subject running on a treadmill. Angular velocity of the test subject’s arm and the angle of subject’s leaping motion are the two main components under investi-gation. Data are analyzed and processed with Principal of Component Analysis (PCA) technique. This method aims to combine and reduce the number of variables of the raw data. The Quiver function is used in order to generate feature vectors for both motions. Furthermore, the output of the process was used to create a system that can recognize human motion on any given data. The system is highly able to differentiate both of the motions. Scientific Research 2013 Article PeerReviewed Ching, Yee Yong and Sudirman, Rubita and Ab. Rahim, Ahmad Hazwan and Mahmood, Nasrul Humaimi and Kim, Mey Chew (2013) Jogging and walking analysis using wearable sensors. Engineering, 5 . pp. 20-24. ISSN 1424-8220 http://dx.doi.org/10.4236/eng.2013.55B005 DOI:10.4236/eng.2013.55B005 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Ching, Yee Yong Sudirman, Rubita Ab. Rahim, Ahmad Hazwan Mahmood, Nasrul Humaimi Kim, Mey Chew Jogging and walking analysis using wearable sensors |
description |
Gait analysis is a process of learning the motion of human and animal by using wearable sensor approach and vision approach. This analysis is mainly used in medical and sports field where the study of body parts is crucial. 3-space sen-sor is a sensor consists of accelerometer, gyroscope sensor and compass sensor, built in one device. In this study, 3-space sensor is used to collect data of walking and jogging motion, of a test subject running on a treadmill. Angular velocity of the test subject’s arm and the angle of subject’s leaping motion are the two main components under investi-gation. Data are analyzed and processed with Principal of Component Analysis (PCA) technique. This method aims to combine and reduce the number of variables of the raw data. The Quiver function is used in order to generate feature vectors for both motions. Furthermore, the output of the process was used to create a system that can recognize human motion on any given data. The system is highly able to differentiate both of the motions. |
format |
Article |
author |
Ching, Yee Yong Sudirman, Rubita Ab. Rahim, Ahmad Hazwan Mahmood, Nasrul Humaimi Kim, Mey Chew |
author_facet |
Ching, Yee Yong Sudirman, Rubita Ab. Rahim, Ahmad Hazwan Mahmood, Nasrul Humaimi Kim, Mey Chew |
author_sort |
Ching, Yee Yong |
title |
Jogging and walking analysis using wearable sensors |
title_short |
Jogging and walking analysis using wearable sensors |
title_full |
Jogging and walking analysis using wearable sensors |
title_fullStr |
Jogging and walking analysis using wearable sensors |
title_full_unstemmed |
Jogging and walking analysis using wearable sensors |
title_sort |
jogging and walking analysis using wearable sensors |
publisher |
Scientific Research |
publishDate |
2013 |
url |
http://eprints.utm.my/id/eprint/40393/ http://dx.doi.org/10.4236/eng.2013.55B005 |
_version_ |
1643650463412781056 |
score |
13.160551 |