A maze (2) level evaluation system, comprising a maze (2), a brain wave testing apparatus (3), a brain wave analysis module (4), a level evaluation module (5), a control module (8), a camera (6) for photographing the maze (2), and a display and recording system (7) for displaying and recording the actual maze (2) walking condition on site. The brain wave analysis module (4) analyzes corresponding fives types of brain wave characteristic values of smooth walking, unsmooth walking, competition anxiety, competition excitement and anxiety overcoming of a competitor in a competition, a score is calculated by means of an entropy weight method, and machine evaluation for a maze (2) level of the competitor is realized. An actual maze (2) walking condition photographed by the camera (6) is provided for evaluation personnel to obtain the final comprehensive evaluation according to experience-based judgment in conjunction with the machine evaluation. Further comprised is a maze (2) level evaluation method based on an evaluation system, and the maze capability of the Micromouse is improved by means of deep learning by using brain wave characteristics of an excellent testee. Machine evaluation is recombined by using an entropy weight method, so as to obtain the optimal machine evaluation, such that a maze (2) level of a competitor can be objectively, accurately and scientifically analyzed in conjunction with artificial evaluation.
BRAIN TRAINING EVALUATION SYSTEM BASED ON SMART MAZE AND EVALUATION METHOD THEREFOR