摘要目的 研究基于视觉、听觉以及视听融合感知的刺激源对脑电(EEG)识别率的影响。方法试验分别从视觉、听觉和视听融合3种情况提供与交通环境相关的刺激源，在不同刺激源的提示下，受试者利用左右手想象运动对车辆进行启动和制动控制，并对采集的脑电数据进行特征提取和分类处理，得到与想象运动相关的C3、C4导联上的特征信号和分类结果。结果视觉、听觉、视听融合环境下5名受试者最高识别率分别为100％、100％、83.3％，平均识别率分别为68.8％、82.2％、76.9％。结论基于视听感官的刺激源对脑电的识别率有一定影响，并且存在较大的个体差异。

abstractsObjective To evaluate the effect of electroencephalography(EEG) recognition rate resulted by stimulus of visual, auditory and combined perception. Methods In virtual traffic environment, the stimuli were designed in traffic information based on visual, auditory and audio-visual fusion. When one of the three stimuli appeared, the subjects completed starting and braking vehicle by imaginary using of right and left hands at the same time. The EEG signals were recorded and the imaginary motion-related features from C3, C4 were extracted and classified. Results The best recognition rates in visual, auditory and fusion perception were 100％, 100％and 83％, respectively, while the averages of the rates were 68.8％ 、82.2％、76.9％, respectively. Conclusion The recognition rates are affected by the audio, visual and fusion stimulus and apparent individual differences exist.