DocumentCode :
530858
Title :
Applications of Simulated Annealing Genetic Algorithm to emotion recognition from physiological signals
Author :
Zhou, Lianzhe ; Pang, Huanli ; Liu, Hanmei ; Xiao, Wei
Author_Institution :
Sch. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Volume :
1
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
358
Lastpage :
360
Abstract :
Emotion recognition is one of the most important issues in advanced human-computer interaction today. This paper proposes The Simulated Annealing Genetic Algorithm to recognizing four emotional states from four physiological signals. The experiment shows that based on physiological signals, SAGA is feasible and effective.
Keywords :
emotion recognition; genetic algorithms; human computer interaction; simulated annealing; emotion recognition; human-computer interaction; physiological signals; simulated annealing genetic algorithm; Annealing; Cardiology; Electrocardiography; Electromyography; Genetics; Humans; Skin; Emotion Recognition; Physiological Signals; Simulated Annealing Genetic Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
Type :
conf
DOI :
10.1109/CMCE.2010.5610511
Filename :
5610511
Link To Document :
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