This paper describes a novel 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 [1] platform. Body Sensor Networks (BSNs), empowered by wireless non-invasive wearable physiological sensors, have been widely accepted as one of the key enabling technologies for the revolution of personal-health services. In addition, the integration of BSN applications with Cloud-computing technologies 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
Activity-aaService: Cloud-assisted, BSN-based system for physical activity monitoring
FORTINO, Giancarlo;GRAVINA, Raffaele;RUSSO, Wilma
2015-01-01
Abstract
This paper describes a novel 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 [1] platform. Body Sensor Networks (BSNs), empowered by wireless non-invasive wearable physiological sensors, have been widely accepted as one of the key enabling technologies for the revolution of personal-health services. In addition, the integration of BSN applications with Cloud-computing technologies 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 CloudI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.