Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors

Chinazunwa Uwaoma, Gunjan Mansingh, William Pepper, Wenshi Lu, Siyu Xiang

2019

Abstract

While physical activity has been described as a primary prevention against chronic diseases, strenuous physical exertion under adverse ambient conditions has also been reported as a major contributor to exacerbation of chronic respiratory conditions. Maintaining a balance by monitoring the type and the level of physical activities of affected individuals, could help in reducing the cost and burden of managing respiratory ailments. This paper explores the potentiality of motion sensors in Smartphones to estimate physical activity thresholds that could trigger symptoms of exercise-induced respiratory conditions (EiRCs). The focus is on the extraction of measurements from the embedded motion sensors to determine the activity level and the type of activity that is tolerable to individual’s respiratory health. The calculations are based on the correlation between Signal Magnitude Area (SMA) and Energy Expenditure (EE). We also consider the effect of changes in the ambient conditions – temperature and humidity, as contributing factors to respiratory distress during physical exercise. Real-time data collected from healthy individuals were used to demonstrate the potentiality of a mobile phone as tool to regulate the level of physical activities of individuals with EiRCs. We describe a practical situation where the experimental outcomes can be applied to promote good respiratory health.

Paper Citation

in Harvard Style

Uwaoma C., Mansingh G., Pepper W., Lu W. and Xiang S. (2019). Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors.In Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-758-385-8, pages 113-120. DOI: 10.5220/0008170001130120

in Bibtex Style

@conference{peccs19,
author={Chinazunwa Uwaoma and Gunjan Mansingh and William Pepper and Wenshi Lu and Siyu Xiang},
title={Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors},
booktitle={Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2019},
pages={113-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008170001130120},
isbn={978-989-758-385-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors
SN - 978-989-758-385-8
AU - Uwaoma C.
AU - Mansingh G.
AU - Pepper W.
AU - Lu W.
AU - Xiang S.
PY - 2019
SP - 113
EP - 120
DO - 10.5220/0008170001130120