A Design of the Stress Relief Game Based on Autonomic Nervous System

  • Kil-sang Yoo
  • Jae-sung Ahn
  • Won-hyung Lee
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 181)


We are proposing the stress relief game to measure user’s stress through biofeedback using electrocardiogram and analysis of heart rate variability. The stress reduction system can recognize a user’s stress status by analyzing bio signals. The approach relies on estimating the state of the autonomic nervous system from an analysis of heart rate variability. In several experiments we have shown that after using the game software, people become less distracted by rejection, and they become less stressed at work and school.


Serious game Stress reduction ECG Electrocadiography HRV 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Schoder, H., Silverman, D.H., Campsi, R., Karpman, H., Phelps, M.E., Schelbert, H.R., Czernin, J.: Effects of Mental Stress on Myocardial Blood Flow and Vasomotion in Patients with Coronary Artery Disease. The Journal of Nuclear Medicine 41(1), 11–16 (2000)Google Scholar
  2. 2.
    Milic, L., Saramiki, T.: Power complementary IIR filter pairs with an adjustable crossover frequency, Facta universitatis (Nit), Ser. Elec. and Energ. 16, 295–304 (2003)Google Scholar
  3. 3.
    Braunwald, E., Heart Disease, A.: Textbook of Cardiovascular Medicine, 5th edn., p. 108. W.B. Saunders Co., Philadelphia (1997)Google Scholar
  4. 4.
    Picard, R., Vyzas, E., Healey, J.: Toward machine emotional intelligence- analysis of affective physiological state. IEEE Transactions Pattern Analysis and Machine Intelligence 23(10), 1175–1191 (2001)CrossRefGoogle Scholar
  5. 5.
    Malik, M., et al.: Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation 93(5), 1043–1065 (1996)CrossRefGoogle Scholar
  6. 6.
    Bacon, M., Poppen, R.: A behavioral analysis of diaphragmatic breathing and its effects on peripheral temperature. Journal of Behavior Therapy and Experimental Psychiatry 16, 15–61 (1985)CrossRefGoogle Scholar
  7. 7.
    Arambula, P., Peper, E., Kawakami, M., Gibney, K.H.: The Physiological Correlates of Kundalini Yoga Meditation: A Study of a Yoga Master. Applied Psychophysiology and Biofeedback 26(2), 147–153 (2001)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  1. 1.Chung-Ang UniversitySeoulKorea

Personalised recommendations