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  • 标题:Research on subliminal visual messages based on EEG signal and convolutional neural network
  • 本地全文:下载
  • 作者:Zhiming Chen ; Yanshan Tan ; Zhuo Zhang
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2021
  • 卷号:336
  • 页码:1-6
  • DOI:10.1051/matecconf/202133605014
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The visual information that can't be detected by consciousness but can affect individual's behavior and attitude under specific conditions is called subliminal visual messages. In order to better apply subliminal visual messages to commercial advertising, education and other fields, this paper studied the process of subliminal visual messages in the brain. First, this paper designed a experiment to allow the subjects to see a series of pictures stimulation of different durations and collect the EEG signals, then analyzed the impact of stimulation time on classification accuracy. The experimental results showed that when the stimulus time is short, the classification accuracy increases with the increase of time, resulting in subliminal visual effects. However, with the increase of stimulus time, the classification accuracy began to decline. We speculated that the visual information changed from subthreshold to suprathreshold. The subliminal visual effects were disturbed until disappeared.
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