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DigitalBeing: An Ambient Intelligence Interactive Dance Experience

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Computational Intelligence for Agent-based Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 72))

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This chapter seeks to explore the development of an ambient intelligent dance space. In particular, the chapter proposes intelligent systems that use non-linear optimization as well as symbolic rule-based systems to adjust sound/music, on-stage lighting, and projected visual imagery in terms of movement and color to dynamically reflecting the dancer’s arousal state measured through physiological sensors worn by the dancers. To aesthetically adjust physical lighting around the dancers, dancer’s location will need to be identified. This variable will be identified using pressure sensor mats installed on the floor to track dancers’ movements. Data from these sensors will be passed into a three layered architecture. Layer 1 is composed of a sensor analysis system that analyzes and synthesizes physiological and pressure sensor signals.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Pennsylvania State University, 16802, University Park, PA, USA

    Magy Seif El-Nasr

  2. Dept. of Computer and Telecommunications Engineering, University of Western Macedonia, 531 00, Florina, Greece

    Thanos Vasilakos

Authors
  1. Magy Seif El-Nasr
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  2. Thanos Vasilakos
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Editor information

Editors and Affiliations

  1. The Hong Kong Polytechnic University, Hong Kong, China

    Raymond S. T. Lee

  2. Universita di Salerno via Ponte don Melillo, 84084, Fisciano, Italy

    Vincenzo Loia

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El-Nasr, M.S., Vasilakos, T. (2007). DigitalBeing: An Ambient Intelligence Interactive Dance Experience. In: Lee, R.S.T., Loia, V. (eds) Computational Intelligence for Agent-based Systems. Studies in Computational Intelligence, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73177-1_8

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  • DOI: https://doi.org/10.1007/978-3-540-73177-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73175-7

  • Online ISBN: 978-3-540-73177-1

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