• DocumentCode
    179153
  • Title

    Mobile real-time arousal detection

  • Author

    Alexandratos, Vasileios ; Bulut, Murtaza ; Jasinschi, Radu

  • Author_Institution
    Dept. of Embedded Syst., Tech. Univ. Delft, Delft, Netherlands
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    4394
  • Lastpage
    4398
  • Abstract
    We introduce a mobile system that is able to detect arousal in realtime based on electrocardiogram and electrodermal activity. The system is using an Android smartphone and wearable sensors, which include a smart watch and a heart rate belt that gather skin conductance and heart rate data, respectively. Algorithms for processing the skin conductance and heart rate data, as well as an automated method for labeling the collected `arousal´ and `non-arousal´ experimental data are developed. Small-scale user tests show 84% 10-fold, 83% between-subject, and 68% new-subject arousal detection accuracy.
  • Keywords
    Android (operating system); cardiology; electrocardiography; medical signal processing; mobile computing; real-time systems; Android smartphone; arousal detection; automated method; electrocardiogram activity; electrodermal activity; heart rate belt; mobile real-time arousal detection; mobile system; skin conductance; smart watch; wearable sensors; Accuracy; Electrocardiography; Heart rate variability; Physiology; Real-time systems; Skin; Stress; arousal; heart rate variability; skin conductance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854432
  • Filename
    6854432