Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility

نویسندگان

  • Giancarlo Fortino
  • Raffaele Gravina
  • Wenfeng Li
  • Congcong Ma
چکیده

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. Keywords—activity recognition, cloud, BSN, wearable sensors

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تاریخ انتشار 2015