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dc.date.accessioned 2020-03-09T14:20:34Z
dc.date.available 2020-03-09T14:20:34Z
dc.date.issued 2019
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/90473
dc.description.abstract Multi-dimensional time series from motion capture (MoCap) provide a rich source of data for human motion analysis, yet they are difficult to process and compare. We address MoCap data related to Karate katas, containing predefined sequences of movements, executed independently by several subjects with different timing and speed. We propose a combination of signal processing and data visualization techniques to analyze the misalignment between data from different subjects. We present a web app that implements this proposal, providing a visual comparison of time series, based on Dynamic Time Warping. en
dc.format.extent 446-455 es
dc.language en es
dc.subject Dynamic Time Warping es
dc.subject Comparative Visualization es
dc.subject Data Visualization es
dc.subject Multidimensional Data es
dc.subject Motion Capture es
dc.title Visualization to compare karate motion captures en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-688-377-1 es
sedici.creator.person Urribarri, Dana K. es
sedici.creator.person Larrea, Martín Leonardo es
sedici.creator.person Castro, Silvia Mabel es
sedici.creator.person Puppo, Enrico es
sedici.description.note XVII Workshop de Computación Gráfica. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2019-10
sedici.relation.event XXV Congreso Argentino de Ciencias de la Computación (CACIC) (Universidad Nacional de Río Cuarto, Córdoba, 14 al 18 de octubre de 2019) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/90359 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)