• Login
    View Item 
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Computational Perception & Robotics
    • View Item
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Computational Perception & Robotics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Recognizing Water-Based Activities in the Home Through Infrastructure-Mediated Sensing

    Thumbnail
    View/Open
    2012-Thomaz-RWAHTIS.pdf (1.517Mb)
    Date
    2012-09
    Author
    Thomaz, Edison
    Bettadapura, Vinay
    Reyes, Gabriel
    Sandesh, Megha
    Schindler, Grant
    Plötz, Thomas
    Abowd, Gregory D.
    Essa, Irfan
    Metadata
    Show full item record
    Abstract
    Activity recognition in the home has been long recognized as the foundation for many desirable applications in fields such as home automation, sustainability, and healthcare. However, building a practical home activity monitoring system remains a challenge. Striking a balance between cost, privacy, ease of installation and scalability continues to be an elusive goal. In this paper, we explore infrastructure-mediated sensing combined with a vector space model learning approach as the basis of an activity recognition system for the home. We examine the performance of our single-sensor water-based system in recognizing eleven high-level activities in the kitchen and bathroom, such as cooking and shaving. Results from two studies show that our system can estimate activities with overall accuracy of 82.69% for one individual and 70.11% for a group of 23 participants. As far as we know, our work is the first to employ infrastructure-mediated sensing for inferring high-level human activities in a home setting.
    URI
    http://hdl.handle.net/1853/51327
    Collections
    • Computational Perception & Robotics [213]
    • Computational Perception & Robotics Publications [213]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    • About
    • Terms of Use
    • Contact Us
    • Emergency Information
    • Legal & Privacy Information
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    • Login
    Georgia Tech

    © Georgia Institute of Technology

    • About
    • Terms of Use
    • Contact Us
    • Emergency Information
    • Legal & Privacy Information
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    • Login
    Georgia Tech

    © Georgia Institute of Technology