DocumentCode :
1851960
Title :
Recognizing human emotional state via SRC in Fractional Fourier Domain
Author :
Teng Song ; Lin Qi ; Enqing Chen ; Lei Gao ; Ning Zheng
Author_Institution :
Inf. Eng. Sch., Zhengzhou Univ., Zhengzhou, China
Volume :
3
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
1583
Lastpage :
1586
Abstract :
Recognizing human emotional state is one of the most important component for efficient human-computer interaction (HCI). In this paper, a novel emotional state recognition method via SRC (classification based on sparse representation) in Fractional Fourier Domain (FRFD) is proposed. For a robust representation, it performs feature extraction by using the Fractional Fourier Transform (FRFT). And then Principal Component Analysis (PCA) and down-sample [1] are used to reduce the feature dimensions. In particular, the human emotional state recognition task is fitted into the SRC framework. Due to the FRFT and the excellent theory of SRC, the proposed algorithm gives better results when comparing with the state-of-art SRC human emotional state recognition method. Experiments conducted on publicly human emotional state database verify the accuracy and efficiency of our algorithm.
Keywords :
Fourier transforms; emotion recognition; face recognition; feature extraction; human computer interaction; principal component analysis; SRC; feature dimensions; feature extraction; fractional Fourier domain; fractional Fourier transform; human emotional state recognition; human-computer interaction; principal component analysis; publicly human emotional state database; sparse representation; FRFT; HCI; SRC; emotional state recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491882
Filename :
6491882
Link To Document :
بازگشت