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Adaptive motion pattern recognition: Implementing playful learning through embodied interaction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5620 LNCS 105-114
DOI: 10.1007/978-3-642-02809-0_12
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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. © 2009 Springer Berlin Heidelberg.

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Hashagen, A., Zabel, C., Schelhowe, H., & Zare, S. (2009). Adaptive motion pattern recognition: Implementing playful learning through embodied interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5620 LNCS, pp. 105–114). https://doi.org/10.1007/978-3-642-02809-0_12

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