3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Performance analysis of an activity monitoring system using the SPINE framework

Download350 downloads
  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.6004,
        author={Roberta Giannantonio and Raffaele Gravina and Philip Kuryloski and Ville-Pekka Seppa and Fabio Bellifemine and Jari Hyttinen and Marco Sgroi},
        title={Performance analysis of an activity monitoring system using the SPINE framework},
        proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2009},
        month={8},
        keywords={component; wireless sensor networks performanceanalysis SPINE},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.6004}
    }
    
  • Roberta Giannantonio
    Raffaele Gravina
    Philip Kuryloski
    Ville-Pekka Seppa
    Fabio Bellifemine
    Jari Hyttinen
    Marco Sgroi
    Year: 2009
    Performance analysis of an activity monitoring system using the SPINE framework
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6004
Roberta Giannantonio1, Raffaele Gravina2, Philip Kuryloski2, Ville-Pekka Seppa3, Fabio Bellifemine1, Jari Hyttinen3, Marco Sgroi2
  • 1: Telecom Italia, Torino, Italy
  • 2: WSN Lab sponsored by Pirelli and Telecom Italia Berkeley, CA
  • 3: Department of Biomedical Engineering, Tampere University of Technology, Finland

Abstract

SPINE is an Open Source Framework for the design of signal processing intensive (SPI) WSNs. It supports the construction of WSN applications through high-level abstractions and libraries, and allows designers to quickly explore implementation tradeoffs through fast prototyping. This paper describes the architecture of SPINE and presents implementation parameters, such as processing time, memory, bandwidth usage and power consumption that are most relevant for application developers to set tunable parameters and analyze system performance. Finally, the paper presents the performance and the resource usage of a SPINE based posture recognition system for elderly health monitoring.