1. A system for training emotion recognition using multisensory information, comprising: an output unit to output multisensory information made up of at least one emotional state of a subject; an input unit to receive an input of emotional state information from a test person, the emotional state information indicating whether the at least one emotional state of the subject is the same based on the outputted multisensory information; a comparison identification unit to determine whether the inputted emotional state information is identical to reference emotional state information corresponding to the multisensory information pre-stored in a storage unit; and a control unit to judge an emotion recognition capability of the test person based on a result of determining the inputted emotional state information, and generate an output control signal to output multisensory information having a change in difficulty level of emotional state combination based on a result of the judgment and transmit the output control signal to the output unit, wherein difficulty level of emotional state combination is adjusted according to composite ratio of composed emotions when multisensory information is made up of a combination of a plurality of emotional state information, the output unit re-outputs multisensory information having a change in difficulty level of emotional state combination based on the result of judging the emotion recognition capability in response to the output control signal, and the control unit compares the result of judging the emotion recognition capability of the test person to a result of judging an average emotion recognition capability to determine whether the emotion recognition capability of the test person is improved.