• DocumentCode
    1892289
  • Title

    Qi energy flow visualisation using wearable computing

  • Author

    Majoe, Dennis ; Kulka, Irena ; Gutknecht, Jürg

  • Author_Institution
    ETH Zurich, Zurich
  • fYear
    2007
  • fDate
    26-27 July 2007
  • Firstpage
    285
  • Lastpage
    290
  • Abstract
    This research is aimed at finding an alternative approach to the practice of focusing and unblocking internal energy, referred to in Chinese Medicine as Qi. Tai Ji Quan , also known as Tai Chi, and Qi Gong are well established and excellent methods for promoting healthy Qi flow. However, by providing an alternative framework based on wearable computing that strongly adheres to the traditional concepts of Qi motivation, it may be possible to achieve the same or higher levels of wellness using pervasive computing methods. This work reports on work using wearable computer sensors and multimedia feedback. The computing technology could help in broadening the accessibility of Qi flow exercises to a wider audience and increase their motivation to use the method for disease prevention and cure.
  • Keywords
    medical computing; multimedia computing; ubiquitous computing; wearable computers; Chinese medicine; Qi Gong; Qi motivation; Tai Chi; Tai Ji Quan; multimedia feedback; pervasive computing; qi energy flow visualisation; wearable computing; Biosensors; Feedback; Immune system; Microorganisms; Muscles; Pervasive computing; Senior citizens; Visualization; Wearable computers; Wearable sensors; Qi Gong; Tai Ji Quan; Wearable computing; Wellness; bio-feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2007. ICPCA 2007. 2nd International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4244-0971-6
  • Electronic_ISBN
    978-1-4244-0971-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2007.4365455
  • Filename
    4365455