Accelerometer-based Energy Expenditure Estimation Methods and Performance Comparison
Fang-Chen Chuang, Ya-Ting C. Yang, Jeen-Shing Wang
Available Online July 2013.
- https://doi.org/10.2991/cse.2013.24How to use a DOI?
- accelerometer, energy expenditure, metabolic equivalent of task, regression model estimation, non-steady state.
- 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.
- 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 -