2016 IEEE Pacific Visualization Symposium (PacificVis) (2016)
April 19, 2016 to April 22, 2016
Oky Purwantiningsih , LIRMM - Université Paul Valéry, Montpellier, France
Arnaud Sallaberry , LIRMM - Université Paul Valéry, Montpellier, France
Sebastien Andary , NaturalPad, Montpellier, France
Antoine Seilles , NaturalPad Montpellier, France
Jerome Aze , LIRMM - Université de Montpellier, France
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.
H.5.2 [Information Interfaces and Presentation]: User Interfaces ? Graphical User Interfaces, H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval ? Clustering
O. Purwantiningsih, A. Sallaberry, S. Andary, A. Seilles and J. Aze, "Visual analysis of body movement in serious games for healthcare," 2016 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Taipei, Taiwan, 2016, pp. 229-233.