Emotion recognition of physiological signals based on adaptive hierarchical genetic algorithm

2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

Volumn 4, Issue , 2009, Pages 670-674

  Liu, Guang Yuan ^a   Hao, Min ^a  

^a SOUTHWEST UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EMOTION RECOGNITION; EXPERIMENTAL SIMULATIONS; FEATURE SELECTION; HIERARCHICAL GENETIC ALGORITHM; OPTIMIZATION PROBLEMS; PHYSIOLOGICAL SIGNALS;

COMPUTER SCIENCE; FACE RECOGNITION;

ADAPTIVE ALGORITHMS;

EID: 71049131772     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSIE.2009.120     Document Type: Conference Paper

References (8)

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2. A. Haag S. Goronzy, P. Schaich, J. Willams :Emotion Recognition Using Bio-Sensors: First Step Towards an Automatic System [J],Affective Dialogue System, Tutorial and Rearch Workshop,Kloster Irsee,Germany,2004,3068(36-48).
3. R. W. Picard,E. Vyzas, J. Healey.Toward Machine Emotional Intelligence: Analysis of Affective Physiological State[J].IEEE Transactions Pattern Analysis and Machine Intelligence, 2001, 23(10):1175-1191.
4. P. Pudil, J. Novovicǒvá, j. Kittler. Floating search methods in feature selection. Pattern Recognition Letters 15 (1994) 1119-1125
5. GONG Dun-wei , HAO Guo-sheng ZHOU Yong. Hierarchical interactive evolutionary computation and its application [J].Control and Decision. 2004, 19(10):1117-1120.
6. GONG Dun-wei , HAO Guo-sheng SUN Xiaoyan. Adapative Hierarchical Interactive Genetic Algorithm and Its Application[J]. Journal of Hangzhou Dianzi University 2005, 25(2):45-48.
7. YUAN Jian, LI Zhi-yong. Novel annealing genetic algorithm applying circular strategy. Computer Engineering and Applications,2007,43(2):102.
8. http://mmwerkstatt.informatik.uniaugsburg.de/project-details.php?id=33