• DocumentCode
    730609
  • Title

    Sequential energy detection for touch input detection

  • Author

    Youngchun Kim ; Tewfik, Ahmed H. ; Kundargi, Nikhil

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    3941
  • Lastpage
    3945
  • Abstract
    In this paper we propose a novel detection algorithm that delivers impressive savings in the sensing time of the capacitive touchscreen systems using sequential energy detection methods. We also show that these savings can translate into a significant boost to the operational battery life of today´s mobile devices. We provide numerical analysis of sequential energy detection scheme, and the average sample number of measurements required to decide the presence of a touch input is derived. The analysis and simulation results confirm that the proposed scheme can save at least 70% or more computational resources for performing touch detection under realistic noise condition as compared to the conventional fixed sample size detection scheme.
  • Keywords
    mobile communication; mobile computing; touch sensitive screens; capacitive touchscreen systems; impressive savings; mobile devices; novel detection algorithm; numerical analysis; operational battery life; sequential energy detection; touch input detection; binary hypothesis test; capacitive touch screen; energy detector; sequential detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178710
  • Filename
    7178710