Intelligent wheelchair control and route optimization method based on visual evoked brain-computer interface

Abstract

The invention discloses an intelligent wheelchair control and route optimization method based a on visual evoked brain-computer interface. The method comprises the following steps: presenting a Newton's ring to a user who sits on a wheelchair as a motion stimulating unit; acquiring and processing electroencephalogram signals of the user; recognizing out a stimulating target which is currently gazed at by virtue of a computer; indicating out the target which is gazed at by virtue of a computer screen, and transmitting a target result, which is recognized out, to an intelligent wheelchair motorcontroller so as to control the motion of a motor, so that the wheelchair is advanced; when the wheelchair, which adopts a mode of firstly rotating in situ and advancing straightly, moves straightly or is free from continuous turning in a same direction, not adjusting the rotating angle of the wheelchair, when the wheelchair, which is controlled by a user, is subjected to a continuous turning operation in a same direction, pre-judging whether the wheelchair is further to be turned in a same direction by the user, and compensating the rotating angle of the wheelchair by virtue of a curve-fitting method and shortening an advancing distance. According to the method provided by the invention, the number of target stimulation is reduced, and an advancing process of the wheelchair in continuousturning in the same direction is optimized.

Description

technical field [0001] The invention relates to the technical field of visually induced brain-computer interface, in particular to an intelligent wheelchair control and path optimization method based on visually induced brain-computer interface. Background technique [0002] There are millions of disabled people around the world who have lost their mobility due to motor dysfunction, and electric wheelchairs have become an integral part of their daily lives. However, there are still some disabled people who cannot control the electric wheelchair through traditional interfaces (such as the control lever of the wheelchair, etc.). [0003] Brain-computer interface is the abbreviation of human-brain-computer interface. It is a technology that realizes direct communication and control between the brain and electronic equipment based on EEG signals. Since it does not rely on conventional brain output pathways, the brain-computer interface opens up a new way for the human brain to ...

AI Technical Summary

Problems solved by technology

Although this method provides convenience for manipulating the wheelchair, on the one hand, due to the existence of multi-target stimuli, the accuracy of recognition is reduced; Prediction, thus reducing the execution efficiency of brain-controlled smart wheelchairs

In the actual control of the user, when the wheelchair is moving in a straight line, the direction of travel can be directly controlled by controlling the driving force of the motor. Difficult to achieve expected turn

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