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首页> 外文会议>IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems >Discriminating Different Color from EEG Signals using Interval-Type 2 Fuzzy Space Classifier (A Neuro-Marketing Study on the Effect of Color to Cognitive State)
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Discriminating Different Color from EEG Signals using Interval-Type 2 Fuzzy Space Classifier (A Neuro-Marketing Study on the Effect of Color to Cognitive State)

机译：使用间隔类型2模糊空间分类器（对认知状态的颜色效果的神经营销研究）辨别不同颜色的不同颜色

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摘要

Color perception is one of the most important cognitive features of human brain. Different colors lead to different cognitive activities and different mental arousal levels; as revealed by power spectral density obtained from EEG signals. As the color plays an important role in marketing and packaging industry; so neuro-marketing research; based on color stimuli is considered to be an important tool for market researcher. In order to assess the impact of each color; prime focus is to detect different colors from EEG signals. This study employs four color stimuli; e.g. red; green; yellow and blue; that were shown to various subjects and EEG signal corresponding to the mentioned stimulus was acquired. Power spectral density of each color was estimated and different activation areas of brain for each stimulus is illustrated in figures. This paper also employs an Interval-Type-II fuzzy space classifier for distinguishing between different stimuli that are considered for the concerned experiment. It is noted that classification rate is maximum for red color and minimum in case of yellow color. Precision and recall values also have been highlighted here. For detailed analysis; the performance of IT2FS classifier has been compared with other standard classifiers by Friedman Test.
机译：颜色感知是人脑中最重要的认知特征之一。不同的颜色导致不同的认知活动和不同的心理唤起水平;正如从EEG信号获得的功率谱密度透露。由于颜色在营销和包装行业中发挥着重要作用;所以神经营销研究;基于颜色刺激被认为是市场研究员的重要工具。为了评估每种颜色的影响;主要焦点是从EEG信号中检测不同颜色。这项研究采用了四种颜色刺激;例如红色的;绿色;黄色和蓝色;已经显示出对对应于提到的刺激的各种受试者和EEG信号。估计每种颜色的功率谱密度，并且在图中示出了每个刺激的脑的不同激活区域。本文还采用了间隔型-II模糊空间分类器，用于区分所涉及有关实验的不同刺激。注意，在黄色的情况下，分类率最大为红色和最小值。在此突出显示精度和召回值。详细分析;将IT2FS分类器的性能与弗里德曼测试的其他标准分类器进行了比较。

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