Facial expression analysis by generalized eigen-space method based on class-features (GEMC)

This paper describes a new method of facial expression recognition based on independent component analysis (ICA) and eigen-space method. We had proposed eigen-space method based on class-features (EMC), and EMC was the outstanding method with classification accuracy superior to multiple discriminant analysis (MDA). Our new method, GEMC, is a generalization of EMC by using ICA technique. GEMC has discriminated the facial expression class in a precision 10 or more points higher than conventional methods (EMC, MDA and ICA) because of classification experiments.