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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1400655
