DocumentCode
1894558
Title
Expression Recognition Based on BP Neural Network
Author
Chang Liu ; Jian-zheng Liu
Author_Institution
Sch. of Educ. & Inf. Technol., Tianjin Foreign Studies Univ., Tianjin, China
Volume
1
fYear
2012
fDate
23-25 March 2012
Firstpage
89
Lastpage
93
Abstract
The way computers interact with humans is changing with the continuous development of computer technology in the field of affective computing. A human facial expression is the formation of facial muscle movement. In our previous research, we had proposed a method of identifying facial muscle movement which based on motion templates and Gentle Boost. But the method was not robust enough to recognize human expression. So in this paper, we present an approach to solve the problem. The approach is based on our previous work and BP neural network. Tests in our laboratory have been conducted and the results have proved that the method presented in this paper can solve the problem encountered in our previous research.
Keywords
backpropagation; face recognition; neural nets; BP neural network; GentleBoost; affective computing; computer technology; continuous development; facial expression; facial muscle movement identification; human expression recognition; motion templates; Biological neural networks; Facial muscles; Humans; Mouth; Neurons; Training; BP neural network; Expression; MHI;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.227
Filename
6187834
Link To Document