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Exploring Dance Movement Data Using Sequence Alignment Methods

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  • Seyed Hossein Chavoshi
  • Bernard De Baets
  • Tijs Neutens
  • Guy De Tré
  • Nico Van de Weghe

Abstract

Despite the abundance of research on knowledge discovery from moving object databases, only a limited number of studies have examined the interaction between moving point objects in space over time. This paper describes a novel approach for measuring similarity in the interaction between moving objects. The proposed approach consists of three steps. First, we transform movement data into sequences of successive qualitative relations based on the Qualitative Trajectory Calculus (QTC). Second, sequence alignment methods are applied to measure the similarity between movement sequences. Finally, movement sequences are grouped based on similarity by means of an agglomerative hierarchical clustering method. The applicability of this approach is tested using movement data from samba and tango dancers.

Suggested Citation

  • Seyed Hossein Chavoshi & Bernard De Baets & Tijs Neutens & Guy De Tré & Nico Van de Weghe, 2015. "Exploring Dance Movement Data Using Sequence Alignment Methods," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-25, July.
    • Handle: RePEc:plo:pone00:0132452
    DOI: 10.1371/journal.pone.0132452
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    References listed on IDEAS

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    1. Orellana, Daniel & Bregt, Arnold K. & Ligtenberg, Arend & Wachowicz, Monica, 2012. "Exploring visitor movement patterns in natural recreational areas," Tourism Management, Elsevier, vol. 33(3), pages 672-682.
    2. Joh, Chang-Hyeon & Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2002. "Activity pattern similarity: a multidimensional sequence alignment method," Transportation Research Part B: Methodological, Elsevier, vol. 36(5), pages 385-403, June.
    3. Gaurav Sinha & David M. Mark, 2005. "Measuring similarity between geospatial lifelines in studies of environmental health," Journal of Geographical Systems, Springer, vol. 7(1), pages 115-136, October.
    4. Clarke Wilson, 2008. "Activity patterns in space and time: calculating representative Hagerstrand trajectories," Transportation, Springer, vol. 35(4), pages 485-499, July.
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    Cited by:

    1. Joanna Witkoś & Magdalena Hartman-Petrycka, 2021. "Implications of Argentine Tango for Health Promotion, Physical Well-Being as Well as Emotional, Personal and Social Life on a Group of Women Who Dance," IJERPH, MDPI, vol. 18(11), pages 1-15, May.

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