@inproceedings{3806d71fce1f42e0bf17ba9077a33fef,
title = "Estimating intensity of physical activity: a comparison of wearable accelerometer and gyro sensors and 3 sensor locations",
abstract = "Automatic estimation of physical activity using wearable sensors can be used for promotion of a healthier lifestyle. In this study, accelerometers and gyroscopes attached to ankle, wrist and hip were used to estimate intensity of physical activity. The estimates are compared to metabolic equivalent (MET) obtained from a portable cardiopulmonary exercise testing system. Data from common everyday tasks and exercise were collected with 11 subjects. The tasks include, e.g., ironing, vacuuming, walking, running and cycling on exercise bicycle (ergometer). The strongest linear correlation with metabolic equivalent was obtained with the tri-axial accelerometer attached to the ankle (r=0.86).",
author = "Juha P{\"a}rkk{\"a} and Miikka Ermes and Kari Antila and {van Gils}, Mark and Ari M{\"a}ntt{\"a}ri and Heikki Nieminen",
year = "2007",
doi = "10.1109/IEMBS.2007.4352588",
language = "English",
isbn = "978-1-4244-0787-3",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
pages = "1511--1514",
booktitle = "29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
address = "United States",
note = "29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 22-08-2007 Through 26-08-2007",
}