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A PCA-based bio-motion generator to synthesize new patterns of human running

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A PCA-based bio-motion generator to synthesize new patterns of human running

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dc.contributor.author Baydal Bertomeu, José Mª es_ES
dc.contributor.author Dura Gil, Juan-Vicente es_ES
dc.contributor.author Piérola Orcero, Ana es_ES
dc.contributor.author Parrilla Bernabé, Eduardo es_ES
dc.contributor.author Ballester Fernández, Alfredo es_ES
dc.contributor.author Alemany Munt, Sandra es_ES
dc.date.accessioned 2017-06-23T12:33:49Z
dc.date.available 2017-06-23T12:33:49Z
dc.date.issued 2016-11-19
dc.identifier.issn 2376-5992
dc.identifier.uri http://hdl.handle.net/10251/83565
dc.description.abstract [EN] Synthesizing human movement is useful for most applications where the use of avatars is required. These movements should be as realistic as possible and thus must take into account anthropometric characteristics (weight, height, etc.), gender, and the performance of the activity being developed. The aim of this study is to develop a new methodology based on the combination of principal component analysis and partial least squares regression model that can generate realistic motion from a set of data (gender, anthropometry and performance). A total of 18 volunteer runners have participated in the study. The joint angles of the main body joints were recorded in an experimental study using 3D motion tracking technology. A five-step methodology has been employed to develop a model capable of generating a realistic running motion. The described model has been validated for running motion, showing a highly realistic motion which fits properly with the real movements measured. The described methodology could be applied to synthesize any type of motion: walking, going up and down stairs, etc. In future work, we want to integrate the motion in realistic body shapes, generated with a similar methodology and from the same simple original data. es_ES
dc.description.sponsorship The research for this paper was done within the EASY-IMP project (http://www.easy-imp.eu/) funded by the European Commission FP7.FoF.NMP.2013-5 Project 609078. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. en_EN
dc.language Inglés es_ES
dc.publisher PeerJ es_ES
dc.relation.ispartof PeerJ Computer Science es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Synthesizing motion es_ES
dc.subject Motion analysis es_ES
dc.subject PLS es_ES
dc.subject Running es_ES
dc.subject PCA es_ES
dc.title A PCA-based bio-motion generator to synthesize new patterns of human running es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.7717/peerj-cs.102
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/609078/EU/Collaborative Development of Intelligent Wearable Meta-Products in the Cloud/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biomecánica de Valencia - Institut Universitari Mixt de Biomecànica de València es_ES
dc.description.bibliographicCitation Baydal Bertomeu, JM.; Dura Gil, J.; Piérola Orcero, A.; Parrilla Bernabé, E.; Ballester Fernández, A.; Alemany Munt, S. (2016). A PCA-based bio-motion generator to synthesize new patterns of human running. PeerJ Computer Science. 4:1-16. https://doi.org/10.7717/peerj-cs.102 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.7717/peerj-cs.102 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 4 es_ES
dc.relation.senia 333046 es_ES
dc.contributor.funder European Commission


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