Smoothing rope skipping data using gaussian scale-space Method

The scale-space method has been widely used in handling image data at multiple scales. Application of Gaussian filtering in different field includes human vision problem, medical data, financial data and electroencephalogram (EEG) signal. The main purpose of this paper is to apply the Gaussian scale...

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Main Authors:	Nor Atikah Ab Ghani, Azmin Sham Rambely, Samsul Ariffin Abdul Karim
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2013
Online Access:	http://journalarticle.ukm.my/6491/ http://journalarticle.ukm.my/6491/ http://journalarticle.ukm.my/6491/1/jqma-9-1-paper10.pdf

id	ukm-6491
recordtype	eprints
spelling	ukm-64912016-12-14T06:41:20Z http://journalarticle.ukm.my/6491/ Smoothing rope skipping data using gaussian scale-space Method Nor Atikah Ab Ghani, Azmin Sham Rambely, Samsul Ariffin Abdul Karim, The scale-space method has been widely used in handling image data at multiple scales. Application of Gaussian filtering in different field includes human vision problem, medical data, financial data and electroencephalogram (EEG) signal. The main purpose of this paper is to apply the Gaussian scale-space method by determining a suitable σ value in order to smooth rope skipping data. Smoothing technique using a Gaussian kernel with a selection of bandwidth (σ) and time (x) is applied. It is found that the tolerance value of σ can be used to smooth not only one set of data, but also other biomechanical data of different anatomical body landmarks. Penerbit Universiti Kebangsaan Malaysia 2013-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6491/1/jqma-9-1-paper10.pdf Nor Atikah Ab Ghani, and Azmin Sham Rambely, and Samsul Ariffin Abdul Karim, (2013) Smoothing rope skipping data using gaussian scale-space Method. Journal of Quality Measurement and Analysis, 9 (1). pp. 107-117. ISSN 1823-5670 http://www.ukm.my/jqma/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	The scale-space method has been widely used in handling image data at multiple scales. Application of Gaussian filtering in different field includes human vision problem, medical data, financial data and electroencephalogram (EEG) signal. The main purpose of this paper is to apply the Gaussian scale-space method by determining a suitable σ value in order to smooth rope skipping data. Smoothing technique using a Gaussian kernel with a selection of bandwidth (σ) and time (x) is applied. It is found that the tolerance value of σ can be used to smooth not only one set of data, but also other biomechanical data of different anatomical body landmarks.
format	Article
author	Nor Atikah Ab Ghani, Azmin Sham Rambely, Samsul Ariffin Abdul Karim,
spellingShingle	Nor Atikah Ab Ghani, Azmin Sham Rambely, Samsul Ariffin Abdul Karim, Smoothing rope skipping data using gaussian scale-space Method
author_facet	Nor Atikah Ab Ghani, Azmin Sham Rambely, Samsul Ariffin Abdul Karim,
author_sort	Nor Atikah Ab Ghani,
title	Smoothing rope skipping data using gaussian scale-space Method
title_short	Smoothing rope skipping data using gaussian scale-space Method
title_full	Smoothing rope skipping data using gaussian scale-space Method
title_fullStr	Smoothing rope skipping data using gaussian scale-space Method
title_full_unstemmed	Smoothing rope skipping data using gaussian scale-space Method
title_sort	smoothing rope skipping data using gaussian scale-space method
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2013
url	http://journalarticle.ukm.my/6491/ http://journalarticle.ukm.my/6491/ http://journalarticle.ukm.my/6491/1/jqma-9-1-paper10.pdf
first_indexed	2023-09-18T19:47:03Z
last_indexed	2023-09-18T19:47:03Z
_version_	1777405970471714816

Smoothing rope skipping data using gaussian scale-space Method

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