Estimation of physical activity walking in different slopes based on accelerometer approach

Kai He; Jing Xian Yao; Hsien Tsung Chang

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.204

Estimation of physical activity walking in different slopes based on accelerometer approach

Kai He
, Jing Xian Yao
, Hsien Tsung Chang^*

^*Corresponding author for this work

Tianjin University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

At present, aiming at the inseparable relationship among the physical activity, energy expenditure and human health (chronic diseases), the measurement of physical activity is quite important to human health. Now most of the study supports of using the three-axis accelerometer to measure the physical activity, but for walking or running, the existing testing instrument and method is accurately only for flat ground. The standard method of analysis of body accelerations cannot accurately predict the energy cost of uphill walking without an external measurement of the slope. Therefore, This paper proposed an regression method of integration of data and HR_max - to-HR_rest ratio(HR_index) by collecting and analyzing exercising data. In this study, the subjects finished the treadmill walking experiments wearing tri-axial accelerometer and the heart rate belt, then the three axis accelerometer data was separated instead of using the sum of the three axis integration on regression analysis. It was concluded that the method had a good measuring precision for treadmill experiment with different inclines.

Original language	English
Title of host publication	Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
Editors	Luigi Atzori, Xiaolong Jin, Stephen Jarvis, Lei Liu, Ramon Aguero Calvo, Jia Hu, Geyong Min, Nektarios Georgalas, Yulei Wu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1372-1376
Number of pages	5
ISBN (Electronic)	9781509001545
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.204
State	Published - 22 12 2015
Event	15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 - Liverpool, United Kingdom Duration: 26 10 2015 → 28 10 2015

Publication series

Name	Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015

Conference

Conference	15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
Country/Territory	United Kingdom
City	Liverpool
Period	26/10/15 → 28/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Heart rate
Physical activity
Slope
Tri-axial accelerometer
Walking

Access to Document

10.1109/CIT/IUCC/DASC/PICOM.2015.204

Cite this

He, K., Yao, J. X., & Chang, H. T. (2015). Estimation of physical activity walking in different slopes based on accelerometer approach. In L. Atzori, X. Jin, S. Jarvis, L. Liu, R. A. Calvo, J. Hu, G. Min, N. Georgalas, & Y. Wu (Eds.), Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 (pp. 1372-1376). Article 7363248 (Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.204

He, Kai ; Yao, Jing Xian ; Chang, Hsien Tsung. / Estimation of physical activity walking in different slopes based on accelerometer approach. Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015. editor / Luigi Atzori ; Xiaolong Jin ; Stephen Jarvis ; Lei Liu ; Ramon Aguero Calvo ; Jia Hu ; Geyong Min ; Nektarios Georgalas ; Yulei Wu. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1372-1376 (Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015).

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title = "Estimation of physical activity walking in different slopes based on accelerometer approach",

abstract = "At present, aiming at the inseparable relationship among the physical activity, energy expenditure and human health (chronic diseases), the measurement of physical activity is quite important to human health. Now most of the study supports of using the three-axis accelerometer to measure the physical activity, but for walking or running, the existing testing instrument and method is accurately only for flat ground. The standard method of analysis of body accelerations cannot accurately predict the energy cost of uphill walking without an external measurement of the slope. Therefore, This paper proposed an regression method of integration of data and HRmax - to-HRrest ratio(HRindex) by collecting and analyzing exercising data. In this study, the subjects finished the treadmill walking experiments wearing tri-axial accelerometer and the heart rate belt, then the three axis accelerometer data was separated instead of using the sum of the three axis integration on regression analysis. It was concluded that the method had a good measuring precision for treadmill experiment with different inclines.",

keywords = "Heart rate, Physical activity, Slope, Tri-axial accelerometer, Walking",

author = "Kai He and Yao, \{Jing Xian\} and Chang, \{Hsien Tsung\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 ; Conference date: 26-10-2015 Through 28-10-2015",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1372--1376",

editor = "Luigi Atzori and Xiaolong Jin and Stephen Jarvis and Lei Liu and Calvo, \{Ramon Aguero\} and Jia Hu and Geyong Min and Nektarios Georgalas and Yulei Wu",

booktitle = "Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015",

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He, K, Yao, JX & Chang, HT 2015, Estimation of physical activity walking in different slopes based on accelerometer approach. in L Atzori, X Jin, S Jarvis, L Liu, RA Calvo, J Hu, G Min, N Georgalas & Y Wu (eds), Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015., 7363248, Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1372-1376, 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, Liverpool, United Kingdom, 26/10/15. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.204

Estimation of physical activity walking in different slopes based on accelerometer approach. / He, Kai; Yao, Jing Xian; Chang, Hsien Tsung.
Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015. ed. / Luigi Atzori; Xiaolong Jin; Stephen Jarvis; Lei Liu; Ramon Aguero Calvo; Jia Hu; Geyong Min; Nektarios Georgalas; Yulei Wu. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1372-1376 7363248 (Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estimation of physical activity walking in different slopes based on accelerometer approach

AU - He, Kai

AU - Yao, Jing Xian

AU - Chang, Hsien Tsung

PY - 2015/12/22

Y1 - 2015/12/22

N2 - At present, aiming at the inseparable relationship among the physical activity, energy expenditure and human health (chronic diseases), the measurement of physical activity is quite important to human health. Now most of the study supports of using the three-axis accelerometer to measure the physical activity, but for walking or running, the existing testing instrument and method is accurately only for flat ground. The standard method of analysis of body accelerations cannot accurately predict the energy cost of uphill walking without an external measurement of the slope. Therefore, This paper proposed an regression method of integration of data and HRmax - to-HRrest ratio(HRindex) by collecting and analyzing exercising data. In this study, the subjects finished the treadmill walking experiments wearing tri-axial accelerometer and the heart rate belt, then the three axis accelerometer data was separated instead of using the sum of the three axis integration on regression analysis. It was concluded that the method had a good measuring precision for treadmill experiment with different inclines.

AB - At present, aiming at the inseparable relationship among the physical activity, energy expenditure and human health (chronic diseases), the measurement of physical activity is quite important to human health. Now most of the study supports of using the three-axis accelerometer to measure the physical activity, but for walking or running, the existing testing instrument and method is accurately only for flat ground. The standard method of analysis of body accelerations cannot accurately predict the energy cost of uphill walking without an external measurement of the slope. Therefore, This paper proposed an regression method of integration of data and HRmax - to-HRrest ratio(HRindex) by collecting and analyzing exercising data. In this study, the subjects finished the treadmill walking experiments wearing tri-axial accelerometer and the heart rate belt, then the three axis accelerometer data was separated instead of using the sum of the three axis integration on regression analysis. It was concluded that the method had a good measuring precision for treadmill experiment with different inclines.

KW - Heart rate

KW - Physical activity

KW - Slope

KW - Tri-axial accelerometer

KW - Walking

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DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.204

M3 - 会议稿件

AN - SCOPUS:84964273819

T3 - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015

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BT - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015

A2 - Atzori, Luigi

A2 - Jin, Xiaolong

A2 - Jarvis, Stephen

A2 - Liu, Lei

A2 - Calvo, Ramon Aguero

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A2 - Min, Geyong

A2 - Georgalas, Nektarios

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015

Y2 - 26 October 2015 through 28 October 2015

ER -

He K, Yao JX, Chang HT. Estimation of physical activity walking in different slopes based on accelerometer approach. In Atzori L, Jin X, Jarvis S, Liu L, Calvo RA, Hu J, Min G, Georgalas N, Wu Y, editors, Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1372-1376. 7363248. (Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015). doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.204

Estimation of physical activity walking in different slopes based on accelerometer approach

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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