Dynamic Facial Fatigue Recognition Based on Independent Features Fusion

To improve the facial fatigue state recognition effect,a facial fatigue features representation method of fusing the global and local features was proposed.This method combined the discrete cosine transform(DCT),independent component analysis(ICA) technology and Gabor transformation,and obtained the final facial fatigue features representation through fusing the global independent DCT features and local dynamic Gabor features.The experiments based on the previous self-built fatigue image sequences show that the fatigue features extracted by this method are more discriminative.