• DocumentCode
    621377
  • Title

    A study about feature extraction for stress detection

  • Author

    Bornoiu, Ionut-Vlad ; Grigore, Oana

  • Author_Institution
    Fac. of Electron., Comunications & Inf. Technol., Univ. “Politeh.” of Bucharest, Bucharest, Romania
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Stress can be associated with depression, heart disease, gastrointestinal problems, asthma, obesity, Alzheimer´s disease, impaired driving, low productivity at the workplace, therefore stress detection is a very important research subject. Stress detection using the user´s electrodermal activity is a very poor documented research area. This study will focus on presenting a few filtering techniques used to estimate the skin conductance level for stress evaluation, as well as a method used for establishing the user´s latency between a given stimuli and the reaction to that stimuli.
  • Keywords
    biological organs; cardiology; feature extraction; medical signal processing; skin; Alzheimer´s disease; asthma; depression; feature extraction; gastrointestinal problem; heart disease; impaired driving; obesity; skin conductance level; stress detection; stress evaluation; user electrodermal activity; workplace; Correlation; Equations; Filtering; Noise; Skin; Stress; Thyristors; Fourier transformation; electrodermal activity; moving average filter; signal correlation; stimuli latency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Topics in Electrical Engineering (ATEE), 2013 8th International Symposium on
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4673-5979-5
  • Type

    conf

  • DOI
    10.1109/ATEE.2013.6563421
  • Filename
    6563421