International Workshop on Mobile Security

Research Article

Inferring Complex Human Behavior Using a Non-obtrusive Mobile Sensing Platform

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  • @INPROCEEDINGS{10.1007/978-3-642-29336-8_18,
        author={Bruce DeBruhl and Michele Cossalter and Roy Want and Ole Mengshoel and Pei Zhang},
        title={Inferring Complex Human Behavior Using a Non-obtrusive Mobile Sensing Platform},
        proceedings={International Workshop on Mobile Security},
        proceedings_a={MOBILE SECURITY},
        year={2012},
        month={10},
        keywords={},
        doi={10.1007/978-3-642-29336-8_18}
    }
    
  • Bruce DeBruhl
    Michele Cossalter
    Roy Want
    Ole Mengshoel
    Pei Zhang
    Year: 2012
    Inferring Complex Human Behavior Using a Non-obtrusive Mobile Sensing Platform
    MOBILE SECURITY
    Springer
    DOI: 10.1007/978-3-642-29336-8_18
Bruce DeBruhl1,*, Michele Cossalter1,*, Roy Want2,*, Ole Mengshoel1,*, Pei Zhang1,*
  • 1: Carnegie Mellon University
  • 2: Intel Labs
*Contact email: bruce.debruhl@sv.cmu.edu, michele.cossalter@sv.cmu.edu, roy.want@intel.com, ole.mengshoel@sv.cmu.edu, pei.zhang@sv.cmu.edu

Abstract

Thanks to the decreasing cost, increasing mobility, and wider use of sensors, a great number of possible applications have recently emerged, including applications that may impact the high-level goals in people’s lives. Applications can be found in many areas ranging from medical devices to consumer devices. Information about activity and context can be inferred from sensors and be used to provide automated recommendations.