Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data

• Jesus, Tiago ^{[1] [2]} ; Júlio Duarte ^{[1] [2]} ; Diana Ferreira ^{[1] [2]} ; Dalila Durães ^{[1] [2]} ; Francisco Marcondes ^{[1] [2]} ; Flávio Santos ^{[1] [2]} ; Marco Gomes ^{[1] [2]} ; Paulo Novais ^{[1] [2]} ; Filipe Gonçalves ^[2] ; Joaquim Fonseca ^[2] ; Nicolas Lori ^{[1] [2]} ; António Abelha ^{[1] [2]} ; José Machado ^{[1] [2]}
  1. [1] Universidade do Minho

     Universidade do Minho

     Braga (São José de São Lázaro), Portugal

     
  2. [2] Bosch Car Multimedia (4705-820 Braga, Portugal)
• Localización: Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings / Cesar Analide (ed. lit.), Paulo Novais (ed. lit.) , David Camacho Fernández (ed. lit.) , Hujun Yin (ed. lit.), Vol. 2, 2020 (Part II), ISBN 978-3-030-62365-4, págs. 549-560
• Idioma: inglés
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• Resumen

  • An in-depth study of knowledge and technologies was made related to the various scientific, technical, and industrial domains necessary for the acquisition of skills and capabilities for the design and development of a multisensory fusion system for vehicle cockpits. After an extensive literature review, it was possible to determine the baselines of the solution to be developed and obtain a pipeline prototype.