Research Article
Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility
@INPROCEEDINGS{10.4108/eai.28-9-2015.2261424, author={Giancarlo Fortino and Raffaele Gravina and Wenfeng Li and Concgong Ma Ma}, title={Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility}, proceedings={10th EAI International Conference on Body Area Networks}, publisher={ACM}, proceedings_a={BODYNETS}, year={2015}, month={12}, keywords={activity recognition cloud bsn wearable sensors}, doi={10.4108/eai.28-9-2015.2261424} }- Giancarlo Fortino
Raffaele Gravina
Wenfeng Li
Concgong Ma Ma
Year: 2015
Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility
BODYNETS
ICST
DOI: 10.4108/eai.28-9-2015.2261424
Abstract
This paper describes a novel BSN-based integrated system for detecting, monitoring, and securely recording human physical activities using wearable sensors, a personal mobile device, and a Cloud-computing infrastructure supported by the BodyCloud platform. An integration with a smart-wheelchair system is also presented. BSNs are a key enabling technology for the revolution of personal-health services and their integration with Cloud infrastructure can effectively supports the diffusion of such services in our daily life. Many of these personal-health systems - regardless of their final aim - are based, use or are supported by contextual information on user's physical activity (body posture, movement or action) being performed. This work, hence, aims at providing a basic physical activity service that is capable of supporting personal, mobile-Health applications with real-time activity recognition and labeling both on the personal mobile device and on the Cloud.
