Abstract: A facial expression recognition system includes a facial database, an image capture unit, an expression recognition data generation unit and an expression recognition unit. The facial database includes a plurality of expression information and expression features of optical flow field, wherein each of the expression features of optical flow field corresponds to one of the expression information. The image capture unit captures a plurality of facial images. The expression recognition data generation unit is coupled to the image capture unit and the facial database for receiving a first facial image and a second facial image from the image capture unit and calculating an expression feature of optical flow field between the first facial image and the second facial image corresponding to each of the expression information.

Abstract: A photo-chemical solar cell with nanoneedle electrode and a method manufacturing the same includes at least a working electrode, a counter electrode, an electrolyte layer and a photosensitized dye layer. The working electrode is an nanoneedle electrode formed from an nanoneedle semiconductor layer, wherein the nanoneedle semiconductor layer is prepared by sol-gel method at a low temperature to increase the specific surface area, adsorb more dye, increase the conductive ratio of the electrode, and thus improve the photo-current and the conversion efficiency.

Abstract: A facial expression recognition system includes a facial database, an image capture unit, an expression recognition data generation unit and an expression recognition unit. The facial database includes a plurality of expression information and expression features of optical flow field, wherein each of the expression features of optical flow field corresponds to one of the expression information. The image capture unit captures a plurality of facial images. The expression recognition data generation unit is coupled to the image capture unit and the facial database for receiving a first facial image and a second facial image from the image capture unit and calculating an expression feature of optical flow field between the first facial image and the second facial image corresponding to each of the expression information.