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The influence of photo elements on EEG signal recognition
EURASIP Journal on Image and Video Processing ( IF 2.4 ) Pub Date : 2018-12-04 , DOI: 10.1186/s13640-018-0367-6
Qingjun Wang , Yibo Li , Xueping Liu

With the increasing demand for confidentiality of information, traditional identification tools are no longer sufficient. As a new biological signal, EEG signal has the advantage of being difficult to forge and easy to carry and has become a hot topic in the identification research. In the study of EEG signals, the EEG signals triggered by vision have the advantage of stable characteristics. Therefore, many researchers use the photos of the subjects themselves as stimuli to achieve identification research, but the EEG signals caused by vision are easily stimulated. Object interference, such as photo size, resolution, and color. The main purpose of this paper is to study the effect of these disturbances on the recognition effect. The results show that when the number of electrodes is increased to 9, the effect of increasing the electrode to improve the classification accuracy is not significant; the recognition effect of black-and-white photos is lower than that of color, the size of the picture is 800 × 600 or 1024 × 768. When the resolution is 72, the classification effect is the optimal.

中文翻译:

光电元件对脑电信号识别的影响

随着对信息机密性的需求不断增加,传统的识别工具已不再足够。脑电信号作为一种新的生物信号,具有难以伪造,易于携带的优点,已成为鉴定研究的热点。在脑电信号的研究中,视觉触发的脑电信号具有特性稳定的优点。因此,许多研究人员使用被摄对象的照片作为刺激来进行识别研究,但是视觉引起的脑电信号很容易被刺激。对象干扰,例如照片尺寸,分辨率和颜色。本文的主要目的是研究这些干扰对识别效果的影响。结果表明,当电极数增加到9时,增加电极以提高分类精度的效果不显着。黑白照片的识别效果低于彩色照片,图像的尺寸为800×600或1024×768。分辨率为72时,分类效果最佳。
更新日期:2018-12-04
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