Efficient recognition of authentic dynamic facial expressions on the feedtum database

Frank Wallhoff, Björn Schuller, Michael Hawellek, Gerhard Rigoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Scopus citations

Abstract

In order to allow for fast recognition of a user's affective state we discuss innovative holistic and self organizing approaches for efficient facial expression analysis. The feature set is thereby formed by global descriptors and MPEG based DCT coefficients. In view of subsequent classification we compare modelling by pseudo multi-dimensional Hidden Markov Models and Support Vector Machines. Within the latter case super-vectors are constructed based on Sequential Floating Search Methods. Extensive test-runs as a proof of concept are carried out on our publicly available FEEDTUM database consisting of elicited spontaneous emotions of 18 subjects within the MPEG-4 emotion-set plus added neutrality. Maximum recognition performance reaches the benchmark-rate gained by a human perception test with 20 test-persons and manifest the effectiveness of the introduced novel concepts.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages493-496
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada
Duration: 9 Jul 200612 Jul 2006

Publication series

Name2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume2006

Conference

Conference2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Country/TerritoryCanada
CityToronto, ON
Period9/07/0612/07/06

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