DocumentCode
428402
Title
Statistical and neural methods for vision-based analysis of facial expressions and gender
Author
Wilhelm, Torsten ; Böhme, H.J. ; Grofi, H.M. ; Backhaus, A.
Author_Institution
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany
Volume
3
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
2203
Abstract
It is a prerequisite for the successful application of service robots in human dominated domains to have intuitive and natural man-machine interfaces. In this context, it is desirable to extract information, such as the gender, age, or emotional state (via facial expressions) about the user to aid in communication. We developed a method to estimate the facial expression and the gender of a person based on statistical data analysis and neural classifiers.
Keywords
emotion recognition; neural nets; service robots; statistical analysis; user interfaces; facial expressions; human dominated domains; information extraction; natural man-machine interfaces; neural classifiers; neural methods; service robots; statistical data analysis; statistical methods; vision-based analysis; Context; Data mining; Displays; Humans; Image analysis; Image processing; Principal component analysis; Psychology; Service robots; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1400655
Filename
1400655
Link To Document