Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Lyon, France, 23-26 August 2007 |
| Publisher | Institute of Electrical and Electronic Engineers IEEE |
| Pages | 1511-1514 |
| ISBN (Print) | 1-4244-0788-5 |
| DOIs | |
| Publication status | Published - 2007 |
| MoE publication type | A4 Article in a conference publication |
| Event | 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Lyon, France Duration: 22 Aug 2007 → 26 Aug 2007 |
Conference
| Conference | 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Country | France |
| City | Lyon |
| Period | 22/08/07 → 26/08/07 |
Fingerprint
Cite this
}
Estimating intensity of physical activity: a comparison of wearable accelerometer and gyro sensors and 3 sensor locations. / Pärkkä, Juha; Ermes, Miikka; Antila, Kari; van Gils, Mark; Mänttäri, Ari; Nieminen, Heikki.
Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Lyon, France, 23-26 August 2007. Institute of Electrical and Electronic Engineers IEEE, 2007. p. 1511-1514.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Estimating intensity of physical activity: a comparison of wearable accelerometer and gyro sensors and 3 sensor locations
AU - Pärkkä, Juha
AU - Ermes, Miikka
AU - Antila, Kari
AU - van Gils, Mark
AU - Mänttäri, Ari
AU - Nieminen, Heikki
PY - 2007
Y1 - 2007
N2 - 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).
AB - 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).
U2 - 10.1109/IEMBS.2007.4352588
DO - 10.1109/IEMBS.2007.4352588
M3 - Conference article in proceedings
SN - 1-4244-0788-5
SP - 1511
EP - 1514
BT - Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Lyon, France, 23-26 August 2007
PB - Institute of Electrical and Electronic Engineers IEEE
ER -