Adaptive Motion Pattern Recognition: Implementing Playful Learning through Embodied Interaction

  • Authors:

  • Anja Hashagen;Christian Zabel;Heidi Schelhowe;Saeed Zare

  • Affiliations:

  • TZI, dimeb (Digital Media in Education), University of Bremen, Bremen, Germany 28359;TZI, dimeb (Digital Media in Education), University of Bremen, Bremen, Germany 28359;TZI, dimeb (Digital Media in Education), University of Bremen, Bremen, Germany 28359;TZI, dimeb (Digital Media in Education), University of Bremen, Bremen, Germany 28359

  • Venue:
  • ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
  • Year:
  • 2009

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Abstract

The concept of embodiment plays an emergent role in Human-Computer-Interaction. Accordingly, we conceptualized, implemented, and evaluated an adaptive motion pattern recognition system for an educational installation called Der Schwarm . We implemented three algorithms and compared correctness and processing speed. Der Schwarm aims to encourage children to learn about technology and interprets free body movements. The motion pattern recognition system fosters embodied playful learning, as an evaluation with children shows.