1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications

Research Article

Activity Recognition System For Mobile Phones Using The MotionBand Device

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  • @INPROCEEDINGS{10.4108/ICST.MOBILWARE2008.2813,
        author={\^{A}kos F\^{a}bi\^{a}n and Norbert Gyorb\^{\i}r\^{o} and Gergely Hom\^{a}nyi},
        title={Activity Recognition System For Mobile Phones Using The MotionBand Device},
        proceedings={1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications},
        publisher={ICST},
        proceedings_a={MOBILWARE},
        year={2010},
        month={5},
        keywords={Motion recognition motion sensors mobile computing neural networks},
        doi={10.4108/ICST.MOBILWARE2008.2813}
    }
    
  • Ákos Fábián
    Norbert Gyorbíró
    Gergely Hományi
    Year: 2010
    Activity Recognition System For Mobile Phones Using The MotionBand Device
    MOBILWARE
    ICST
    DOI: 10.4108/ICST.MOBILWARE2008.2813
Ákos Fábián1, Norbert Gyorbíró2, Gergely Hományi2,*
  • 1: Budapest University of Technology and Economics Budapest, Hungary
  • 2: Nokia Siemens Networks Budapest, Hungary
*Contact email: gergely.homanyi@nsn.com

Abstract

In this paper we present a novel system that recognizes and records the motional activities of a person using a mobile phone. Wireless sensors measuring the intensity of motions are attached to body parts of the person. Sensory data is collected by a mobile application that recognizes the prelearnt activities in real-time. For efficient motion pattern recognition of gestures and postures, feed-forward backpropagation neural networks are adopted. The design and implementation of the system are presented along with the records of our experiences. The recognized activity is used as an additional retrieval key in our extensive mobile memory recording and sharing project.