Paper Info
Title
Real-Time Facial Expression Recognition for Natural Interaction
Abstract
The recognition of emotional information is a key step toward giving computers the ability to interact more naturally and intelligently with people. This paper presents a completely automated real-time system for facial expression's recognition based on facial features' tracking and a simple emotional classification method. Facial features' tracking uses a standard webcam and requires no specific illumination or background conditions. Emotional classification is based on the variation of certain distances and angles from the neutral face and manages the six basic universal emotions of Ekman. The system has been integrated in a 3D engine for managing virtual characters, allowing the exploration of new forms of natural interaction.
Year
DOI
Venue
2007
10.1007/978-3-540-72849-8_6
IbPRIA (2)
Keywords
Field
DocType
emotional information,real-time facial expression recognition,certain distance,key step,background condition,facial expression,simple emotional classification method,emotional classification,natural interaction,real-time system,facial feature,basic universal emotion,real time,real time systems
Natural interaction,Computer vision,Facial expression recognition,Three-dimensional face recognition,Computer science,Speech recognition,Facial expression,Artificial intelligence
Conference
Volume
ISSN
Citations 
4478
0302-9743
7
PageRank 
References 
Authors
0.67
6
7
Name
Order
Citations
PageRank
Eva Cerezo132843.40
Isabelle Hupont27612.28
Cristina Manresa-Yee312020.73
Javier Varona421123.38
Sandra Baldassarri518834.08
Francisco J. Perales610410.43
Francisco J. Seron7557.08