Abstract: A motion recognition-based interaction method includes the steps of: providing a first motion image as a reference to a user terminal, obtaining a second motion image of the motion of a user from the user terminal, extracting a reference motion from the first motion image, extracting the user motion from the second motion image, and evaluating the motion state of the user by comparing the reference motion with the user motion, and providing feedback to the user based on the evaluation of the motion state. The feedback includes visual feedback.

Abstract: A motion recognition-based interaction method includes the steps of: providing a first motion image as a reference to a user terminal, obtaining a second motion image of the motion of a user from the user terminal, extracting a reference motion from the first motion image, extracting the user motion from the second motion image, and evaluating the motion state of the user by comparing the reference motion with the user motion, and providing feedback to the user based on the evaluation of the motion state. The feedback includes visual feedback.

Abstract: A client terminal according to an embodiment of the present invention includes: a communication unit receiving a request for object recognition; a recognition unit performing the object recognition through machine vision; a determination unit determining devices that will perform distributed object recognition; and a control unit setting parameters affecting the object recognition, and performing learning for the object recognition through artificial intelligence on the basis of the set parameters, wherein the control unit controls the determination unit to determine the devices by taking into account the parameters when the request for object recognition is received, and controls the recognition unit to integrate results obtained from the devices performing the distributed object recognition so as to perform the object recognition.

Abstract: A client terminal according to an embodiment of the present invention includes: a communication unit receiving a request for object recognition; a recognition unit performing the object recognition through machine vision; a determination unit determining devices that will perform distributed object recognition; and a control unit setting parameters affecting the object recognition, and performing learning for the object recognition through artificial intelligence on the basis of the set parameters, wherein the control unit controls the determination unit to determine the devices by taking into account the parameters when the request for object recognition is received, and controls the recognition unit to integrate results obtained from the devices performing the distributed object recognition so as to perform the object recognition.