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Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data

Juan D. Pulgarin-Giraldo, A. A. Ruales-Torres, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez. Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data. In José Manuel Ferrández de Vicente, José Ramón Álvarez Sánchez, Félix de la Paz López, F. Javier Toledo-Moreo, Hojjat Adeli, editors, Biomedical Applications Based on Natural and Artificial Computing - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II. Volume 10338 of Lecture Notes in Computer Science, pages 501-509, Springer, 2017. [doi]

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Juan D. Pulgarin-Giraldo

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A. A. Ruales-Torres

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Andrés Marino Álvarez-Meza

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Germán Castellanos-Domínguez

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