International Workshop on Ubiquitous Body Sensor Networks

Research Article

WAVE and CalFit — Towards social interaction in mobile body sensor networks

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  • @INPROCEEDINGS{10.4108/ICST.WICON2010.8602,
        author={Posu Yan and Irving Lin and Michael Roy and Edmund Seto and Curtis Wang and Ruzena Bajcsy},
        title={WAVE and CalFit  --- Towards social interaction in mobile body sensor networks},
        proceedings={International Workshop on Ubiquitous Body Sensor Networks},
        publisher={IEEE},
        proceedings_a={UBSN},
        year={2010},
        month={4},
        keywords={Biosensors Body sensor networks Data processing Databases Global Positioning System Mobile computing Operating systems Signal processing algorithms Statistics Wireless sensor networks},
        doi={10.4108/ICST.WICON2010.8602}
    }
    
  • Posu Yan
    Irving Lin
    Michael Roy
    Edmund Seto
    Curtis Wang
    Ruzena Bajcsy
    Year: 2010
    WAVE and CalFit — Towards social interaction in mobile body sensor networks
    UBSN
    IEEE
    DOI: 10.4108/ICST.WICON2010.8602
Posu Yan1, Irving Lin1, Michael Roy1, Edmund Seto2, Curtis Wang1, Ruzena Bajcsy1
  • 1: Electrical Engineering and Computer Sciences, University of California, Berkeley; CA 94720, USA, School of Public Health, University of California, Berkeley; CA 94720, USA
  • 2: School of Public Health, University of California, Berkeley; CA 94720, USA

Abstract

WAVE is an API for Android OS which which allows for easy management of body sensor networks (BSNs) on mobile platforms. It presents a simple framework for health-oriented applications by providing functionality for data collection from sensors and data processing. CalFit is an interactive application built using WAVE that leverages the power of social influence to promote physical activity.