Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection

Enol García González, José Ramón Villar, Enrique A. de la Cal. Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection. In Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado, editors, 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020, Burgos, Spain, 16-18 September 2020. Volume 1268 of Advances in Intelligent Systems and Computing, pages 563-570, Springer, 2020. [doi]

Abstract

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