The invention discloses a brain-controlled driving method, device and system based on a deep electroencephalogram correlation classifier. The method comprises the steps that S1, corresponding steady-state visual evoked potentials generated by the cerebral cortex of a subject are obtained; s2, according to the steady-state visual evoked potential, a brain-controlled driving instruction is obtained; and S3, controlling the movement of the automobile according to the brain-controlled driving instruction to realize brain signal-controlled driving. By adopting the technical scheme of the invention, the problems of low accuracy, insufficient performance, driver visual fatigue and the like of the current brain-controlled driving classification algorithm are solved, the brain response features are increased, the visual induction brain-controlled driving classification accuracy is improved, the brain-controlled driving performance is enhanced, and the driver is helped to drive the vehicle more safely and more conveniently.
本发明公开一种基于深度脑电相关分类器的脑控驾驶方法和装置、系统,包括:步骤S1、获取受试者大脑皮层产生相应的稳态视觉诱发电位;步骤S2、根据稳态视觉诱发电位,得到脑控驾驶指令;步骤S3、根据脑控驾驶指令对汽车运动进行控制,实现大脑信号控制驾驶。采用本发明的技术方案,解决目前脑控驾驶分类算法准确率低、性能不足、驾驶员视觉疲劳等问题,增加大脑响应特征,提高视觉诱发脑控驾驶分类准确率,增强脑控驾驶性能,帮助驾驶员更安全、更便捷地驾驶车辆。
Brain-controlled driving method, device and system based on deep electroencephalogram correlation classifier
基于深度脑电相关分类器的脑控驾驶方法和装置、系统
2024-06-07
Patent
Electronic Resource
Chinese
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