Electroencephalography (EEG) emerged as a highly relevant signal to human emotion, brain diagnosing and brain–computer interfaces (BCI) applications. In this paper, the EEG signal is used to evaluate the cognitive response of subjects during watching test video clips. The measurements are performed with 25 subjects using eight channels while simultaneously running the video clips. The β and γ waves of the EEG signal are used to extract the features that represent the evoked activity in each group of frames using the Peak-Over-Threshold (POT) technique. Significant EEG patterns are derived from the time-correlated measurements, which can be related to the subjects’ interests. In addition, the conjunctions that represent the occurrence of segments-of-interest in more than one channel are determined. The results show that ~15% of the segments attracted the attention of the viewers in each test video clip. Such a technique can potentially be implemented in neuromarketing analysis or to develop a new video compression technique that depends on the human cognitive system.

中文翻译：

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使用脑电信号检测视频的认知特征

脑电图（EEG）成为与人类情感，大脑诊断和脑机接口（BCI）应用密切相关的信号。在本文中，EEG信号用于评估观看视频剪辑时受试者的认知反应。在同时运行视频剪辑的情况下，使用八个通道对25个对象进行了测量。在β和γ使用峰值阈值（POT）技术，使用EEG信号波提取出代表每组帧中诱发活动的特征。重要的EEG模式是从与时间相关的度量中得出的，这些度量可能与受试者的兴趣有关。另外，确定表示感兴趣的片段在一个以上通道中的出现的合取。结果表明，在每个测试视频剪辑中，约有15％的片段吸引了观众的注意力。可以在神经营销分析中实现这种技术，也可以开发一种依赖于人类认知系统的新视频压缩技术。