Documento de conferencia

Real-Time Emotional Recognition for Sociable Robotics Based on Deep Neural Networks Ensemble

Book Series cp
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volumen: 11486 LNCS
  • Fecha: 01 enero 2019
  • Páginas: 171-180
  • ISSN: 16113349 03029743
  • ISBN: 9783030195908
  • Tipo de fuente: Serie de libros
  • DOI: 10.1007/978-3-030-19591-5_18
  • Tipo de documento: Documento de conferencia
  • Editorial: Springer Verlagservice@springer.de
© 2019, Springer Nature Switzerland AG.Recognizing emotions in controlled conditions, based on facial expressions, has achieved high accuracies in the past years. This is still a challenging task for robots working in real-world scenarios due to different factors such as illumination, pose variation or occlusions. One of the next barriers of science is to give sociable robots the ability to fully engage in emotional interactions with users. In this paper a real-time emotion recognition system using a YOLO-based facial detection system and an ensemble CNN for sociable robots, is proposed. Experiments have been carried out on the most challenging database, FER 2013, giving a performance of 72.47% on test sets, achieving current standards.

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