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Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing

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Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing

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Marín-Morales, J.; Llinares Millán, MDC.; Guixeres Provinciale, J.; Alcañiz Raya, ML. (2020). Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing. Sensors. 20(18):1-26. https://doi.org/10.3390/s20185163

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/176398

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Title: Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing
Author: Marín-Morales, Javier Llinares Millán, María Del Carmen Guixeres Provinciale, Jaime Alcañiz Raya, Mariano Luis
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
Abstract:
[EN] Emotions play a critical role in our daily lives, so the understanding and recognition of emotional responses is crucial for human research. Affective computing research has mostly used non-immersive two-dimensional ...[+]
Subjects: Affective computing , Emotion recognition , Emotion elicitation , Virtual reality , Head-mounted display , Machine learning
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s20185163
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s20185163
Project ID:
info:eu-repo/grantAgreement/EC/H2020/825585/EU/HELIOS: A Context-aware Distributed Social Networking Framework/
Thanks:
This research was funded by European Commission, grant number H2020-825585 HELIOS.
Type: Artículo

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