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Chill-Out: Relaxation Training through Respiratory Biofeedback in a Mobile Casual Game

  • Avinash Parnandi
  • Beena Ahmed
  • Eva Shipp
  • Ricardo Gutierrez-Osuna
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 130)

Abstract

We present Chill-Out, an adaptive biofeedback game that teaches relaxation skills by monitoring the breathing rate of the player. The game uses a positive feedback loop that penalizes fast breathing by means of a proportional-derivative control law: rapid (and/or increasing) breathing rates increase game difficulty and reduce the final score of the game. We evaluated Chill-Out against a conventional non-biofeedback game and traditional relaxation based on deep breathing. Measurements of breathing rate, electrodermal activity, and heart rate variability show that playing Chill-Out leads to lower arousal during a subsequent task designed to induce stress.

Keywords

Heart Rate Variability Relaxation Training Deep Breathing Breathing Rate Electrodermal Activity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2014

Authors and Affiliations

  • Avinash Parnandi
    • 1
  • Beena Ahmed
    • 2
  • Eva Shipp
    • 3
  • Ricardo Gutierrez-Osuna
    • 1
  1. 1.Department of Computer Science and EngineeringTexas A&M UniversityUSA
  2. 2.Department of Electrical and Computer EngineeringTexas A&M UniversityQatar
  3. 3.School of Rural and Public HealthTexas A&M Health Science CenterUSA

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