Abstract: An emotion exchange apparatus comprises: a communication unit configured to receive an emotion signal of an emotion deliverer from an external device; an output unit configured to output the emotion signal; an input unit configured to receive a counterpart emotion signal of an emotion learner in response to the emotion signal; and a controller coupled to one or more of the output unit, the input unit, and the communication unit, and configured to receive the emotion signal from the external device through the communication unit, output the emotion signal in an audible or visual manner, receive the counterpart emotion signal from the input unit, and transmit the counterpart emotion signal to the external device through the communication unit.

Abstract: A method and apparatus for classifying fingerprint image quality and a fingerprint image recognition system are provided. The method includes dividing a fingerprint image into a plurality of blocks, calculating and vectorizing quality classification parameters with respect to the respective blocks, obtaining quality classification values for the respective blocks by inputting the vectorized quality classification parameters into a trained quality classifier, and selecting a representative value of the quality classification values and determining the representative value as the quality of the fingerprint image. Since the quality of the fingerprint image can be accurately judged, reliability of the fingerprint image recognition system is increased.