• DocumentCode
    3484083
  • Title

    Psychological Stress Monitoring and Reporting System for Industries

  • Author

    Subramanian, M. ; Kanishkan, V. ; Venkatesan, P. ; Vivek, S. ; Maheswari, S. Uma

  • fYear
    2013
  • fDate
    4-6 April 2013
  • Firstpage
    107
  • Lastpage
    113
  • Abstract
    This project focuses on combining cognitive cues with the conventional physiological cues to have an improved approach for detecting stress. Current stress detection techniques rely on the measurement of certain physiological parameters based on which they determine stress. However, these techniques are not completely reliable because of the effect of other phenomenon on the physiological parameters. In this paper, an alternative method is proposed for the same purpose which involves the extraction of various cognitive features along with the traditional physiological data and processing it through neural networks aiming to make the results more accurate than existing system.
  • Keywords
    cognition; industrial psychology; neural nets; occupational stress; cognitive cues; conventional physiological cues; neural networks; physiological data; physiological parameters; psychological stress monitoring; reporting system; stress detection techniques; Biological neural networks; Biomedical monitoring; Immune system; Skin; Stress; Stress measurement; GSR; cognitive approach; neural networks; psychological stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Educators' Conference (TIIEC), 2013 Texas Instruments
  • Conference_Location
    Bangalore
  • Type

    conf

  • DOI
    10.1109/TIIEC.2013.26
  • Filename
    6757124