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Fast facial expression recognition for emotion awareness disposal
Cita
Eckert, Martina 
ORCID: https://orcid.org/0000-0002-4531-9918, Gil Gaitán, Almudena, Zapatero Olmedillo, Diego, Meneses Chaus, Juan Manuel ORCID: https://orcid.org/0000-0002-0569-2910 and Martínez Ortega, José Fernán ORCID: https://orcid.org/0000-0002-7635-4564
(2016).
Fast facial expression recognition for emotion awareness disposal.
En: "6th IEEE International Conference on Consumer Electronics - Berlin, 5 - 7 September 2016", 5/09/2016 - 7/09/2016, Berlin, Alemania. ISBN 978-1-5090-2096-6. pp. 182-186.
https://doi.org/10.1109/ICCE-Berlin.2016.7684749.
ORCID: https://orcid.org/0000-0002-4531-9918, Gil Gaitán, Almudena, Zapatero Olmedillo, Diego, Meneses Chaus, Juan Manuel ORCID: https://orcid.org/0000-0002-0569-2910 and Martínez Ortega, José Fernán ORCID: https://orcid.org/0000-0002-7635-4564
(2016).
Fast facial expression recognition for emotion awareness disposal.
En: "6th IEEE International Conference on Consumer Electronics - Berlin, 5 - 7 September 2016", 5/09/2016 - 7/09/2016, Berlin, Alemania. ISBN 978-1-5090-2096-6. pp. 182-186.
https://doi.org/10.1109/ICCE-Berlin.2016.7684749.
Descripción
| Título: | Fast facial expression recognition for emotion awareness disposal |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 6th IEEE International Conference on Consumer Electronics - Berlin, 5 - 7 September 2016 |
| Fechas del Evento: | 5/09/2016 - 7/09/2016 |
| Lugar del Evento: | Berlin, Alemania |
| Título del Libro: | 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin 2016) |
| Fecha: | 2016 |
| ISBN: | 978-1-5090-2096-6 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Facial emotion recognition; action units; rule based classification; facial landmarks; FACS; emotion awareness |
| Escuela: | E.T.S.I. y Sistemas de Telecomunicación (UPM) |
| Departamento: | Teoría de la Señal y Comunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
This paper presents a simple and fast expression recognition algorithm aimed at running in a secondary plane to provide emotion awareness for primary applications as e.g. exergames, in real time. The algorithm is based on the extraction of 19 facial landmarks which are used to detect some of the Action Units (AUs) defined in the Facial Action Coding System (FACS) and a newly created one. In addition, the new concept of Combined Action Units (CAUs) is presented. Those are grouped AUs which are detected as a unit. The applied emotion classification is based on logical rules, no learning is involved. First implementations have been made on a mobile platform.
Proyectos asociados
Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TEC2013-48453-C2-2-R
Sin especificar
Ministerio de Economía y Competitividad
Sin especificar
Más información
| ID de Registro: | 43683 |
|---|---|
| Identificador DC: | https://oa.upm.es/43683/ |
| Identificador OAI: | oai:oa.upm.es:43683 |
| Identificador DOI: | 10.1109/ICCE-Berlin.2016.7684749 |
| URL Oficial: | http://www.icce-berlin.org/2016/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 12 Abr 2017 18:10 |
| Ultima Modificación: | 07 Nov 2024 16:11 |
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