The invention discloses a driving environment threat target identification method and system based on electroencephalogram and eye movement cooperation. The method comprises the steps that S1, a driving foreground road condition video is acquired in real time, and multi-target detection and tracking are carried out; s2, displaying flicker arrows with different stimulations on a target and moving along with the target, and collecting eye movement data and electroencephalogram data; s3, processing the eye movement data to obtain an eye movement result, and processing the electroencephalogram data to obtain an electroencephalogram result; and S4, integrating the eye movement result and the electroencephalogram result, and outputting a tracking target result. The method has the advantages of reducing the false positive rate, shortening the target identification time, improving the identification accuracy and the like.
本发明公开了一种基于脑电与眼动协同的行车环境威胁目标识别方法及系统,方法包括步骤:S1、实时获取行车前景路况视频并进行多目标检测与跟踪;S2、将不同刺激的闪烁箭头呈现在目标上并跟随其移动,采集眼动数据和脑电数据;S3、对眼动数据进行处理得到眼动结果,对脑电数据进行处理得到脑电结果;S4、综合所述眼动结果和脑电结果,输出跟踪目标结果。本发明具有降低假阳率、缩短目标识别时间、提高识别准确率等优点。
Driving environment threat target identification method and system based on electroencephalogram and eye movement cooperation
基于脑电与眼动协同的行车环境威胁目标识别方法及系统
2023-01-13
Patent
Electronic Resource
Chinese
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