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

Bruce DeBruhl; Michele Cossalter; Roy Want; Ole Mengshoel; Pei Zhang

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.

Published: 2012-10-17

: http://dx.doi.org/10.1007/978-3-642-29336-8_18