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Overview+Detail Visual Comparison of Karate Motion Captures

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Computer Science – CACIC 2019 (CACIC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1184))

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Abstract

Motion capture (MoCap) data as time series provide a rich source of input for human movement analysis; however, their multidimensional nature makes them difficult to process and compare. In this paper, we propose a visual analysis technique that allows the comparison of MoCap data obtained from karate katas. These consist of a series of predefined movements that are executed independently by several subjects at different times and speeds. For the comparative analysis, the proposed solution presents a visual comparison of the misalignment between a set of time series, based on dynamic time warping. We propose an overview of the misalignment between the data corresponding to n different subjects. A detailed view focusing on the comparison between two of them can be obtain on demand. The proposed solution comes from a combination of signal processing and data visualization techniques. A web application implementing this proposal completes the contribution of this work.

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Notes

  1. 1.

    http://www.infomus.org/karate/eyesweb_dataset_karate_eng.php.

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Acknowledgments

This work was funded by PGI 24/ZN33 and PGI 24/ZN35, Secretaría General de Ciencia y Tecnología, Universidad Nacional del Sur, Bahía Blanca, Argentina; and by the European Union’s Horizon 2020 research and innovation programme under grant agreement n. 824160 (EnTimeMent).

Author information

Authors and Affiliations

  1. VyGLab (CIC-UNS), Depto de Cs. e Ing. de la Computación (UNS), San Andrés 800, 8000, Bahía Blanca, Buenos Aires, Argentina

    Dana K. Urribarri, Martín L. Larrea & Silvia M. Castro

  2. ICIC (UNS-CONICET), Depto de Cs. e Ing. de la Computación (UNS), San Andrés 800, 8000, Bahía Blanca, Buenos Aires, Argentina

    Martín L. Larrea & Silvia M. Castro

  3. DIBRIS, University of Genoa, Genoa, Italy

    Enrico Puppo

Authors
  1. Dana K. Urribarri
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  2. Martín L. Larrea
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  3. Silvia M. Castro
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  4. Enrico Puppo
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Corresponding author

Correspondence to Dana K. Urribarri .

Editor information

Editors and Affiliations

  1. RedUNCI Chair, National University of La Plata, La Plata, Argentina

    Patricia Pesado

  2. National University of Río Cuarto, Río Cuarto, Argentina

    Marcelo Arroyo

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Urribarri, D.K., Larrea, M.L., Castro, S.M., Puppo, E. (2020). Overview+Detail Visual Comparison of Karate Motion Captures. In: Pesado, P., Arroyo, M. (eds) Computer Science – CACIC 2019. CACIC 2019. Communications in Computer and Information Science, vol 1184. Springer, Cham. https://doi.org/10.1007/978-3-030-48325-8_10

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  • DOI: https://doi.org/10.1007/978-3-030-48325-8_10

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