Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)

Accelerometer-based Energy Expenditure Estimation Methods and Performance Comparison

Authors
Fang-Chen Chuang, Ya-Ting C. Yang, Jeen-Shing Wang
Corresponding Author
Fang-Chen Chuang
Available Online July 2013.
DOI
https://doi.org/10.2991/cse.2013.24How to use a DOI?
Keywords
accelerometer, energy expenditure, metabolic equivalent of task, regression model estimation, non-steady state.
Abstract
This paper presents two accelerometer-based metabolic equivalent (MET) estimation methods: 1) MET regression models estimation; and 2) a mono-exponential MET estimation equation. The MET estimation methods can predict MET for the following seven categories of activities: sitting, standing, walking upstairs, walking downstairs, level walking, running, and cycling. The intensity of these activities ranged from sedentary ( 1.5 METs) to vigorous (> 6 METs), where 1 MET is equivalent to the metabolic rate associated with sitting. First, MET regression model estimations were developed, including a single MET regression model and multiple MET regression models. Then, the second estimation method, a mono-exponential MET estimation equation, was developed to enhance estimation accuracy in non-steady and steady states during exercise. The experimental results successfully validate the effectiveness of the proposed method, the mono-exponential MET estimation equation, which substantially ameliorates estimation errors in non-steady states and achieves satisfactory accuracy for both non-steady and steady states.
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Proceedings
2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90786-77-70-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/cse.2013.24How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fang-Chen Chuang
AU  - Ya-Ting C. Yang
AU  - Jeen-Shing Wang
PY  - 2013/07
DA  - 2013/07
TI  - Accelerometer-based Energy Expenditure Estimation Methods and Performance Comparison
BT  - 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.24
DO  - https://doi.org/10.2991/cse.2013.24
ID  - Chuang2013/07
ER  -