Estimation of walking energy expenditure by using support vector regression.

Estimation of walking energy expenditure by using support vector regression. Research Abstract Details 

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Estimation of walking energy expenditure by using support vector regression. Abstract Text:

S Su,L Wang,B Celler,E Ambikairajah,A Savkin,

This paper develops a new predictor of walking energy expenditure from wireless measurements of body movements using triaxial accelerometers. Reliable data were collected from repeated walking experiments in different conditions on a treadmill with simultaneous measurement of expired oxygen and carbon dioxide. Support vector regression, a powerful non-linear regression method, was used to process and model the data. This novel processing method sets this investigation apart from existing papers. Good results were achieved in the robust estimation of walking related energy expenditure from a number of variables derived from triaxial accelerometer and treadmill speed.

Estimation of walking energy expenditure by using support vector regression. Publishing Authors By Initials

S Su,L Wang,B Celler,E Ambikairajah,A Savkin,

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Estimation of walking energy expenditure by using support vector regression. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 4

Page Numbers: 3526-9

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ISSN: 1557-170X

DAY: 6

MONTH: 02

YEAR: 2005

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LANGUAGE: eng

NlmUniqueID: 101243413

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AFFILIATION: Human Performance Lab, School of Electrical Engineering & Telecommunications, University of New South Wales, UNSW Sydney N.S.W. 2052 Australia. Email addresses: steven.su@unsw.edu.au.

Country: United States

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MEDLINETA: Conf Proc IEEE Eng Med Biol So

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