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Conference papers
Visual Analysis of Body Movement in Serious Games for Healthcare
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.
Cited literature [13 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01304601
Contributor : Arnaud Sallaberry <>
Submitted on : Wednesday, April 20, 2016 - 5:17:20 AM
Last modification on : Wednesday, October 7, 2020 - 10:04:12 AM
Long-term archiving on: : Thursday, July 21, 2016 - 11:02:07 AM
Contributor : Arnaud Sallaberry <>
Submitted on : Wednesday, April 20, 2016 - 5:17:20 AM
Last modification on : Wednesday, October 7, 2020 - 10:04:12 AM
Long-term archiving on: : Thursday, July 21, 2016 - 11:02:07 AM
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