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Memorias de investigación
Communications at congresses:
Fast facial expression recognition for emotion awareness disposal
Year:2016
Research Areas
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
International Conference on Consumer Electronics
960
Place
Berlin, Alemania
Reviewers
Si
ISBN/ISSN
978-1-5090-2096-6
Start Date
05/09/2016
End Date
07/09/2016
From page
182
To page
186
Proceedings 2016 IEEE Fifth International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
Participants
  • Autor: Martina Eckert (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Teoría de la Señal y Comunicaciones (Provisional)
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