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

Journal Title: EAI Endorsed Transactions on Cloud Systems - Year 2016, Vol 2, Issue 5

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.

Authors and Affiliations

Giancarlo Fortino, Raffaele Gravina, Wenfeng Li, Concgong Ma Ma

Keywords

Related Articles

Optimal Routing and Resource Allocation for Multimedia Cloud Computing

Routing and resource allocation are two major research directions for cloud computing, especially for improving the response time in multimedia cloud computing. In this paper, we propose network model for the transmissio...

Security Analytics and Benchmarking Log Aggregation in the Cloud

With increase in popularity of Cloud computing, most organizations are moving towards the Cloud. The main concern for these organizations when migrating to the Cloud is securing their data in the Cloud. There are securit...

BETaaS platform – a Things as a Service Environment for future M2M marketplaces

Building the Environment for Things as a Service (BETaaS) is a novel platform for the deployment and execution of contentcentric Machine-to-Machine (M2M) applications, which relies on a local cloud of gateways. BETaaS pl...

Welcome message for the Special issue on: IoT-as-a- Service from the Editors-in-Chief

On behalf of the Editorial board, we welcome you to the inaugural issue of the ICST Transactions on IoT-asa-Service! We are delighted to launch this new transactions journal after a preparatory process that has receiv...

Cloud based Software Defined Wireless Body Area Networks Architecture for Virtual Hospital

Recent developments in wireless communication inflate a new area of research named as Wireless Body Area Networks. WBANs enhance the concept of virtual hospital with the help of cloud computing (CC) technology. Still num...

Download PDF file
  • EP ID EP45571
  • DOI http://dx.doi.org/10.4108/eai.28-9-2015.2261424
  • Views 240
  • Downloads 0

How To Cite

Giancarlo Fortino, Raffaele Gravina, Wenfeng Li, Concgong Ma Ma (2016). Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility. EAI Endorsed Transactions on Cloud Systems, 2(5), -. https://europub.co.uk/articles/-A-45571