Visual Analysis of Body Movement in Serious Games for Healthcare

Oky Purwantiningsih 1, 2 Arnaud Sallaberry 1, 2 Sebastien Andary 3 Antoine Seilles 3 Jérôme Azé 1, 4
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 UM3 - Université Paul-Valéry - Montpellier 3
3 NaturalPad
4 UM - Université de Montpellier
Abstract : The advancement of motion sensing input devices has enabled the collection of multivariate time-series body movement data. Analyzing such type of data is challenging due to the large amount of data and the task of mining for interesting temporal movement patterns. To address this problem, we propose an interface to visualize and analyze body movement data. This visualization enables users to navigate and explore the evolution of movement over time for different movement areas. We also propose a clustering method based on hierarchical clustering to group similar movement patterns. The proposed visualization is illustrated with a case study which demonstrates the ability of the interface to analyze body movements.
Type de document :
Communication dans un congrès
PacificVis: Pacific Visualization Symposium, Apr 2016, Taipei, Taiwan. IEEE, 9th IEEE Pacific Visualization Symposium, pp.229-233, 2016
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Contributeur : Arnaud Sallaberry <>
Soumis le : mercredi 20 avril 2016 - 05:17:20
Dernière modification le : jeudi 11 janvier 2018 - 06:27:21
Document(s) archivé(s) le : jeudi 21 juillet 2016 - 11:02:07

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Oky Purwantiningsih, Arnaud Sallaberry, Sebastien Andary, Antoine Seilles, Jérôme Azé. Visual Analysis of Body Movement in Serious Games for Healthcare. PacificVis: Pacific Visualization Symposium, Apr 2016, Taipei, Taiwan. IEEE, 9th IEEE Pacific Visualization Symposium, pp.229-233, 2016. 〈lirmm-01304601〉

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