Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers

Research Article

Passive, Device-Free Recognition on Your Mobile Phone: Tools, Features and a Case Study

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  • @INPROCEEDINGS{10.1007/978-3-319-11569-6_34,
        author={Stephan Sigg and Mario Hock and Markus Scholz and Gerhard Tr\o{}ster and Lars Wolf and Yusheng Ji and Michael Beigl},
        title={Passive, Device-Free Recognition on Your Mobile Phone: Tools, Features and a Case Study},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013,  Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2014},
        month={12},
        keywords={Activity recognition Passive device-free recognition},
        doi={10.1007/978-3-319-11569-6_34}
    }
    
  • Stephan Sigg
    Mario Hock
    Markus Scholz
    Gerhard Tröster
    Lars Wolf
    Yusheng Ji
    Michael Beigl
    Year: 2014
    Passive, Device-Free Recognition on Your Mobile Phone: Tools, Features and a Case Study
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-319-11569-6_34
Stephan Sigg1,*, Mario Hock2,*, Markus Scholz3,*, Gerhard Tröster4,*, Lars Wolf1,*, Yusheng Ji5,*, Michael Beigl3,*
  • 1: TU Braunschweig
  • 2: Karlsruhe Institute of Technology
  • 3: KIT
  • 4: ETH Zurich
  • 5: National Institute of Informatics
*Contact email: sigg@ibr.cs.tu-bs.de, mario.hock@student.kit.edu, scholz@teco.edu, troester@ife.ee.ethz.ch, wolf@ibr.cs.tu-bs.de, kei@nii.ac.jp, michael@teco.edu

Abstract

We investigate the detection of activities and presence in the proximity of a mobile phone via the WiFi-RSSI at the phone. This is the first study to utilise RSSI in received packets at a mobile phone for the classification of activities. We discuss challenges that hinder the utilisation of WiFi PHY-layer information, recapitulate lessons learned and describe the hardware and software employed. Also, we discuss features for activity recognition (AR) based on RSSI and present two case studies. We make available our implemented tools for AR based on RSSI.