Adaptive Multimodal Emotion Detection Architecture for Social Robots

Autor: Juanpablo Heredia, Edmundo Lopes-Silva, Yudith Cardinale, Jose Diaz-Amado, Irvin Dongo, Wilfredo Graterol, Ana Aguilera

Publikováno v: IEEE Access, Vol 10, Pp 20727-20744 (2022)

Emotion recognition is a strategy for social robots used to implement better Human-Robot Interaction and model their social behaviour. Since human emotions can be expressed in different ways (e.g., face, gesture, voice), multimodal approaches are use

Externí odkaz: https://doaj.org/article/7a1a98c4b1a04c2eab82a412b108d741

Emotion Detection for Social Robots Based on NLP Transformers and an Emotion Ontology

Autor: Yudith Cardinale, Wilfredo Graterol, Cleia Santos-Libarino, Irvin Dongo, Edmundo Lopes-Silva, Jose Diaz-Amado

Publikováno v: Sensors, Vol 21, Iss 1322, p 1322 (2021)
CONCYTEC-Institucional
Consejo Nacional de Ciencia Tecnología e Innovación Tecnológica
instacron:CONCYTEC
Sensors (Basel, Switzerland)
Sensors
Sensors, MDPI, 2021, 21 (4), pp.1322. ⟨10.3390/s21041322⟩
Volume 21
Issue 4

For social robots, knowledge regarding human emotional states is an essential part of adapting their behavior or associating emotions to other entities. Robots gather the information from which emotion detection is processed via different media, such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88552038302dfc8be47aaf63cab59eff
https://www.mdpi.com/1424-8220/21/4/1322