Abstract:
The present invention relates to a robot-based autism diagnosis device using an electroencephalogram and to a method therefor. The invention comprises: an electroencephalogram signal detector which is worn on or attached to the head of a child showing signs of autism and detects an electroencephalogram signal generated following an event which is provided; and a robot for diagnosing the degree of autism on receiving the electroencephalogram signal detected by the electroencephalogram signal detector. In the invention, a relatively accurate judgment is made as to whether autism is present, and autism diagnosis is achieved at an early stage such that autistic children can receive treatment for the signs of autism at an early stage.
Abstract:
The system includes a metric map creation unit configured to create a metric map using first image data received from a 3D sensor, an image processing unit configured to recognize an object by creating and classifying a point cloud using second image data received from an RGB camera; a probability-based map production unit configured to create an object location map and a spatial semantic map in a probabilistic expression method using a processing result of the image processing unit, a question creation unit configured to extract a portion of high uncertainty about an object class from a produced map on the basis of entropy and ask a user about the portion, and a map update unit configured to receive a response from the user and update a probability distribution for spatial information according to a change in probability distribution for classification of the object.
Abstract:
The present invention provides an apparatus for controlling an artificial hand, including: a head-up display interface portion; and a controller which controls the artificial hand in accordance with an input of the head-up display interface portion, the head-up display interface portion receiving the input based on movement of a user's eyes or pupil.