• DocumentCode
    169024
  • Title

    Diary-Like Long-Term Activity Recognition: Touch or Voice Interaction?

  • Author

    Scholl, Philipp M. ; Borazio, Marko ; Jansch, Martin ; Van Laerhoven, Kristof

  • Author_Institution
    Embedded Sensing Syst., Tech. Univ., Darmstadt, Germany
  • fYear
    2014
  • fDate
    16-19 June 2014
  • Firstpage
    42
  • Lastpage
    45
  • Abstract
    The experience sampling methodology is a well known tool in psychology to asses a subject´s condition. Regularly or whenever an important event happens the subject stops whatever he is currently involved in and jots down his current perceptions, experience, and activities, which in turn form the basis of these diary studies. Such methods are also widely in use for gathering labelled data for wearable long-term activity recognition, where subjects are asked to note conducted activities. We present the design of a personal electronic diary for daily activities, including user interfaces on a PC, Smartphone, and Google Glass. A 23-participant structured in-field study covering seven different activities highlights the difference of mobile touch interaction and ubiquitous voice recognition for tracking activities.
  • Keywords
    body sensor networks; medical computing; smart phones; speech; speech recognition; touch (physiological); touch sensitive screens; ubiquitous computing; user interfaces; Google glass; PC; diary-like long-term activity recognition; experience sampling methodology; mobile touch interaction; personal electronic diary; psychology; smartphone; ubiquitous voice recognition; user interfaces; wearable long-term activity recognition; Glass; Google; Manuals; Mobile communication; Mobile handsets; Speech recognition; Wearable sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable and Implantable Body Sensor Networks Workshops (BSN Workshops), 2014 11th International Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4799-6135-1
  • Type

    conf

  • DOI
    10.1109/BSN.Workshops.2014.12
  • Filename
    6970625