Research Article
Activity Recognition Using Smartphones and Wearable Wireless Body Sensor Networks
@INPROCEEDINGS{10.1007/978-3-642-29734-2_5, author={Ioannis Kouris and Dimitris Koutsouris}, title={Activity Recognition Using Smartphones and Wearable Wireless Body Sensor Networks}, proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers}, proceedings_a={MOBIHEALTH}, year={2012}, month={10}, keywords={activity recognition body sensor network classification chronic diseases}, doi={10.1007/978-3-642-29734-2_5} }- Ioannis Kouris
Dimitris Koutsouris
Year: 2012
Activity Recognition Using Smartphones and Wearable Wireless Body Sensor Networks
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-29734-2_5
Abstract
This paper explores automated activity recognition using a WIreless Sensor nEtwork (WISE) connected via Bluetooth to a smartphone. Automated activity recognition enables patients, such as diabetics, to keep more accurate logs of their activities (intensity and duration of the activity) and so to prevent short-terms complication, such as hypoglycaemias. We developed a platform records motion using two wearable sensory devices equipped with 3-axis accelerometers, worn on the waist and the shank, and a wireless heart rate monitor. Data are transmitted via Bluetooth to a smartphone, annotated and analyzed to recognize user activity. WISE platform architecture is described along with recognition accuracy performed by multiple classifiers.
