An intention understanding device based on behavior-recognition connection learning includes: an input part detecting object information of user neighborhood and joint information of user behavior, which are observed for each frame; a preprocessing part preprocessing the object information and joint information received from the input part, to enable the information to be processed with an artificial neutral network; a behavior recognition processing part classifying behavior information of the user based on the object information and joint information, which are outputted from the preprocessing part; an object relation information processing part outputting an object candidate group related with the user behavior by using the behavior information outputted from the behavior recognition processing part and the object information outputted from the preprocessing part; and an intention output part outputting a user intention recognition result through the artificial neural network inputting the behavior information outputted from the behavior recognition processing part and the object candidate group outputted from the object relation information processing part. As such, the present invention is capable of accurately predicting an intention of the user from the user behavior and the object information related with the behavior.
- ARTIFICIAL AGENTS AND METHOD FOR HUMAN INTENTION UNDERSTANDING BASED ON PERCEPTION-ACTION CONNECTED LEARNING RECORDING MEDIUM FOR PERFORMING THE METHOD