情绪识别
消极情绪
情绪分类
情感计算
情感(语言学)
心理学
认知心理学
脑电图
计算机科学
语音识别
人工智能
社会心理学
沟通
精神科
作者
Xiaomin Wang,Yu Pei,Lei Zhang,Shaokai Zhao,Zhiguo Luo,Ye Yan,Erwei Yin
摘要
Negative emotion recognition plays a vital role in the field of affective computing. Recent studies reveal fuzzy boundaries among negative emotions that affect emotion recognition performance. However, to the best of our knowledge, there is no formal research to explore the impact of increasing negative emotions on the classification performance of emotion recognition. In this study, a novel dataset was designed and established with three sessions, which respectively include happy, calm fear (session1), session1 + sad (session2), and session 2+angry (session3). All analysis was based on differential entropy (DE) of EEG and heart rate variability (HRV) of ECG. The results show that the similarity of features of different emotions has increased significantly with more and more negative emotions added in the experiment process. This means that the increasing negative emotions video clips in the experimental paradigm affect emotion recognition performance to a great extent. The balanced types of emotional stimuli should be considered in the subsequent design for negative emotion recognition to avoid the adverse impact of increasing negative emotions.
科研通智能强力驱动
Strongly Powered by AbleSci AI