Towards Real-Life Facial Expression Recognition Systems | Zendy

Kuderna–Iulian Benţa | Zendy; Mircea-F. Vaida | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Towards Real-Life Facial Expression Recognition Systems

Author(s) -

Kuderna–Iulian Benţa,

Mircea-F. Vaida

Publication year - 2015

Publication title -

advances in electrical and computer engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.254

H-Index - 23

eISSN - 1844-7600

pISSN - 1582-7445

DOI - 10.4316/aece.2015.02012

Subject(s) - facial expression , computer science , set (abstract data type) , expression (computer science) , facial expression recognition , speech recognition , facial recognition system , human–computer interaction , artificial intelligence , computer vision , pattern recognition (psychology) , programming language

Facial expressions are a set of symbols of great importance for human-to-human communication. Spontaneous in their nature, diverse and personal, facial expressions demand for real-time, complex, robust and adaptable facial expression recognition (FER) systems to facilitate the human-computer interaction. The last years' research efforts in the recognition of facial expressions are preparing FER systems to step into the real-life. In order to meet the before-mentioned requirements, this article surveys the work in FER since 2008, particularly adopting the discrete states emotion model in a quest for the most valuable FER work/systems. We first present the new spontaneous facial expression databases and then organize the real-time FER solutions grouped by spontaneous and posed facial expression databases. Then automatic FERs are compared and the cross-database validation method is presented. Finally, we outline FER system open issues to meet real-life challenges

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research