A problematic behavior classification method based on a deep neural network algorithm, according to one embodiment of the present invention, comprises the steps in which: feedback behavior of an experimentee is measured and classified, with respect to conditional stimulus information predefined in a database in a restricted environment, so as to create a database; a stimulus delivery unit present the conditional stimulus to the experimentee; a stimulus measuring unit acquires data about feedback behavior responses of the experimentee with respect to the conditional stimulus; and classifying a problematic behavior from among the feedback behavior responses by using a deep neural network algorithm for human body data about the feedback behavior responses.
PROBLEMATIC BEHAVIOR CLASSIFICATION SYSTEM AND METHOD BASED ON DEEP NEURAL NETWORK ALGORITHM