基于脑电波分析的消费者啤酒饮用喜好度研究

The research of sensory evaluation and consumer preference of beer using electroencephalogram method

该研究将新型的消费者脑电波提取分析技术与传统感官评测相结合,建立一种智能消费者啤酒喜好度测试方法。通过建立标准化的品酒流程,收集消费者在品酒过程中脑电波的实时变化,并经过去伪、滤波、特征提取等步骤进行数据清洗,整理出8种不同类型脑电波数据和2种情绪数据,并将其进行建模得到饮酒综合情绪指数(index of alcohol-drinking analysis,IAA)。通过IAA赋分进行消费者饮酒喜好度的判断,并将其与感官问卷数据进行对比分析。研究发现,IAA指数消费者啤酒饮用喜好度的评价与感官问卷结果的一致性为83%,且能快速分析消费者在不同饮酒阶段喜好度的实时变化,有很好的实用性,对现有感官测评方式是很好的补充和改善。

This research used consumer electroencephalogram(EEG)analysis technology combined with traditional sensory evaluation and establish a new type of beer consumers preference test method.After the established standardized process of beer tasting,we collected the real-time EEG change of consumer,and collected the data which treated by artifacts removing,filtering,and feature extraction.Eight different brain wave data and two kinds of emotions data were sort out,and a comprehensive emotion index,Index of Alcohol-drinking Analysis(IAA)model were fitted using the data.Consumer preference of beer could be judged by IAA score and compared with the questionnaire analysis.Results showed that the accuracy of IAA index was 83%compared with questionnaire results.IAA could explain details of consumer preference change in different beer drinking process.This method is the first beer drinking preferences of consumers with EEG data research.It is a good supplement and improvement to the existing sensory evaluation methods.