Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression
A scalable tracking human model was proposed for recognizing human jogging and walking activities. The model aims to detect and track a particular subject by using wearable sensor. Data collected are in accelerometer readings in three axes and gyroscope readings in three axes. The development of pro...
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ukm-94862016-12-14T06:50:04Z http://journalarticle.ukm.my/9486/ Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression Ching, Yee Yong Rubita Sudirman, Kim, Mey Chew A scalable tracking human model was proposed for recognizing human jogging and walking activities. The model aims to detect and track a particular subject by using wearable sensor. Data collected are in accelerometer readings in three axes and gyroscope readings in three axes. The development of proposed human model is based on the moderating effects on human movements. Two moderators were proposed as the moderating factors of human motion and they are angular velocity and elevation angle. Linear regression is used to investigate the relationship among inputs, moderators and outputs of the model. The result of this study showed that the angular velocity and elevation angle moderators are affecting the relation of research output. Acceleration in x-axis (Ax) and angular velocity in y-axis (Gy) are the two main components in directing a motion. Classification between jogging and walking motions was done by measuring the magnitude of angular velocity and elevation angle. Jogging motion was classified and identified with larger angular velocity and elevation angle. The two proposed hypotheses were supported and proved by research output. The result is expected to be beneficial and able to assist researcher in investigating human motions. Universiti Kebangsaan Malaysia 2015-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/9486/1/02_Ching_Yee_Yong.pdf Ching, Yee Yong and Rubita Sudirman, and Kim, Mey Chew (2015) Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression. Sains Malaysiana, 44 (12). pp. 1661-1669. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol44num12_2015/contentsVol44num12_2015.html |
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description |
A scalable tracking human model was proposed for recognizing human jogging and walking activities. The model aims to detect and track a particular subject by using wearable sensor. Data collected are in accelerometer readings in three axes and gyroscope readings in three axes. The development of proposed human model is based on the moderating effects on human movements. Two moderators were proposed as the moderating factors of human motion and they are angular velocity and elevation angle. Linear regression is used to investigate the relationship among inputs, moderators and outputs of the model. The result of this study showed that the angular velocity and elevation angle moderators are affecting the relation of research output. Acceleration in x-axis (Ax) and angular velocity in y-axis (Gy) are the two main components in directing a motion. Classification between jogging and walking motions was done by measuring the magnitude of angular velocity and elevation angle. Jogging motion was classified and identified with larger angular velocity and elevation angle. The two proposed hypotheses were supported and proved by research output. The result is expected to be beneficial and able to assist researcher in investigating human motions. |
format |
Article |
author |
Ching, Yee Yong Rubita Sudirman, Kim, Mey Chew |
spellingShingle |
Ching, Yee Yong Rubita Sudirman, Kim, Mey Chew Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression |
author_facet |
Ching, Yee Yong Rubita Sudirman, Kim, Mey Chew |
author_sort |
Ching, Yee Yong |
title |
Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression |
title_short |
Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression |
title_full |
Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression |
title_fullStr |
Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression |
title_full_unstemmed |
Angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression |
title_sort |
angular velocity and elevation angle: the proposed human model scalable tracking model using linear regression |
publisher |
Universiti Kebangsaan Malaysia |
publishDate |
2015 |
url |
http://journalarticle.ukm.my/9486/ http://journalarticle.ukm.my/9486/ http://journalarticle.ukm.my/9486/1/02_Ching_Yee_Yong.pdf |
first_indexed |
2023-09-18T19:54:59Z |
last_indexed |
2023-09-18T19:54:59Z |
_version_ |
1777406468989911040 |