Smoothing rope skipping data using gaussian scale-space Method

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

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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.

Item Type:Article
Keywords:Gaussian scale-space method; rope skipping; smoothing
Journal:Journal of Quality Measurement and Analysis
ID Code:6491
Deposited By: ms aida -
Deposited On:06 Sep 2013 04:06
Last Modified:14 Dec 2016 06:41

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