• DocumentCode
    3778698
  • Title

    The personal characteristics of happiness: An EEG study

  • Author

    Che-Wen Chen;Chia-Yi Chou;Jhing-Fa Wang

  • Author_Institution
    Department of Electrical Engineering, National Cheng Kung University, Tainan, China
  • fYear
    2015
  • Firstpage
    131
  • Lastpage
    134
  • Abstract
    Previous studies have indicated that the level of happiness associated with various life domains, for example, have reported measuring well-being by Gross National Happiness (GNH). However, during the past two decades, most studies have employed questionnaires to measure the GNH index. This study investigated the level of happiness in neural correlates of individuals by using coherence analysis of EEG data. Twenty healthy volunteers (men) participated in this study, and the mean age of the participants was 20.0 ± 2.0 years. The results showed that greater than little coherent connections were associated with higher levels of happiness. In conclusion, the EEG measures appear to be an effective tool for personal characteristics of happiness.
  • Keywords
    "Electroencephalography","Coherence","Electrodes","Rhythm","Complexity theory","Synchronization","Physiology"
  • Publisher
    ieee
  • Conference_Titel
    Orange Technologies (ICOT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICOT.2015.7498494
  • Filename
    7498494