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Flow of Qi: System of Real-Time Multimedia Interactive Application of Calligraphy Controlled by Breathing

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Advances in Multimedia Modeling (MMM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6524))

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Abstract

By using novel UWB (ultra-wideband) sensor, we may acquire the breathing signals of human body. After real-time analyzing, parameters such as amplitude, frequency, and slope of breathing waves will be obtained continuously. Combine these parameters with strokes of Chinese calligraphy, for example, amplitude stands for the darkness of stroke and then speed and slope both represent the rhythm of stroke, an interesting multimedia interactive application of visual art which is related to famous Chinese calligraphy is developed and a suitable algorism for real-time interaction of breathing signal is accomplished.

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Author information

Authors and Affiliations

  1. Center for Measurement Standards, Industrial Technology Research Institute, Hsinchu, 300, Taiwan, R.O.C.

    Kuang-I Chang, Mu-Yu Tsai, Yu-Jen Su & Jyun-Long Chen

  2. Creativity Laboratory, Industrial Technology Research Institute, Hsinchu, 300, Taiwan, R.O.C.

    Shu-Min Wu

Authors
  1. Kuang-I Chang
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  2. Mu-Yu Tsai
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  3. Yu-Jen Su
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  4. Jyun-Long Chen
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  5. Shu-Min Wu
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Editor information

Editors and Affiliations

  1. National Taiwan Ocean University, Keelung, Taiwan

    Kuo-Tien Lee  & Jun-Wei Hsieh  & 

  2. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Hsiang Tsai

  3. Academia Sinica, Taipei, Taiwan

    Hong-Yuan Mark Liao

  4. Cornell University, Ithaca, NY, USA

    Tsuhan Chen

  5. National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan

    Chien-Cheng Tseng

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© 2011 Springer-Verlag Berlin Heidelberg

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Chang, KI., Tsai, MY., Su, YJ., Chen, JL., Wu, SM. (2011). Flow of Qi: System of Real-Time Multimedia Interactive Application of Calligraphy Controlled by Breathing. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_41

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  • DOI: https://doi.org/10.1007/978-3-642-17829-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17828-3

  • Online ISBN: 978-3-642-17829-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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