Statistical representation of emotions for puzzle workload using electroencephalogram and heart rate variability
Statistical representation of emotions for puzzle workload using electroencephalogram and heart rate variability
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使用脑电图和心率变异性对拼图工作量的情绪进行统计表示
DOI：
10.1109/bmeicon56653.2022.10012068
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Nishikawa S
中科院分区：
文献类型：
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作者：
Igasaki T;Takahi A;Nishikawa S
我们试图通过统计分析的指标提取的脑电图（EEG）和心率变异性（HRV）得分的主题时，他们被要求解决拼图的心理量的执行工作量。首先，我们进行了回归分析的情绪评分的情绪评估问卷完成后的工作量和EEG和HRV的指标之前和之后的开始和完成的工作量，此后确认最强的相关性之前完成的工作量。接下来，我们在完成工作量之前对EEG和HRV的指标进行了主成分分析，此后确认了与情绪评估问卷中的“友谊”、“疲劳-惰性”和“活力-活动”相关的三个主成分。因此，我们证明了EEG和HRV指标的生理量可以统计地表达积极/消极情绪的心理量，即使是小数据。
We attempted to express the psychological quantity of executing workload through statistical analysis of indices extracted from an electroencephalogram (EEG) and a heart rate variability (HRV) score of subjects when they were asked to solve jigsaw puzzles. First, we conducted a regression analysis of the emotional score of the mood evaluation questionnaire after the completion of the workload and the indices of the EEG and HRV before and after the start and completion of the workload, and thereafter confirmed the strongest correlation before the completion of the workload. Next, we conducted a principal component analysis of the indices of the EEG and HRV before the completion of the workload, and thereafter confirmed that three principal components were obtained that correlated with “friendship,” “fatigue-inertia,” and “vigor-activity” in the mood evaluation questionnaire. Therefore, we demonstrated that the physiological quantities of the EEG and HRV indices could statistically express the psychological quantities of positive/negative emotions, even with small data.