Emotion recognition based on a novel triangular facial feature extraction method

Kuan Chieh Huang, Sheng Yu Huang, Yau-Hwang Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

Recognizing human emotions from facial expressions is highly dependent on the quality of the referred facial expression features. Conventional methods often suffer from high computation time and serious influence of environment variations. In this paper, a triangular facial feature extraction method based on a Modified Active Shape Model (MASM) is proposed. This method features considering the interactions of all facial features, escaping from the affection of environment variations as well as noisy facial features, and reducing feature dimensions. MASM adopts the same shape representation and shape training procedures as ASM, but executes a different landmark searching procedure without using the gray level training procedure to avoid the affection from environment variations. Using the feature points extracted by MASM, two methods, one is based on statistical analysis and another one is derived from the genetic algorithm, are proposed to extract an optimal set of triangular facial features for emotion recognition. In the experiments with JAFFE database, a neural network classifier is employed to recognize emotions with those extracted triangular facial features. The experimental results show that based on the statistical analysis 65.1% recognition rate is achieved, and based on the genetic algorithm 70.2% recognition rate is achieved.

Original languageEnglish
Title of host publication2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain
Duration: 2010 Jul 182010 Jul 23

Publication series

NameProceedings of the International Joint Conference on Neural Networks

Other

Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
CountrySpain
CityBarcelona
Period10-07-1810-07-23

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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