Introduction: Fatigue is dangerous for certain jobs requiring continuous concentration. When
faced with new datasets, the existing fatigue detection model needs a large amount of …

Text sentiment classification is a fundamental sub-area in natural language processing. The
sentiment classification algorithm is highly domain-dependent. For example, the phrase …

Electroencephalogram (EEG) signals are not easily camouflaged, portable, and
noninvasive. It is widely used in emotion recognition. However, due to the existence of …

Affective computing is concerned with simulating people's psychological cognitive
processes, of which emotion classification is an important part. Electroencephalogram …

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that is
characterized by communication barriers, societal disengagement, and monotonous actions …

Fatigue, one of the most important factors affecting road safety, has attracted many
researchers' attention. Most existing fatigue detection methods are based on feature …

Combining the psychological" big data" of college students with the data of the
psychological expert database, using data mining algorithm to extract characteristic …

Cross-dataset emotion recognition as an extremely challenging task in the field of EEG-
based affective computing is influenced by many factors, which makes the universal models …

针对普通机器学习算法与迁移学习在应用方面的局限性, 利用改进流形嵌入分布对齐算法(
MEDA) 算法解决跨被试情绪识别中准确率低的问题. 其中MEDA 通过流行特征变换来减小域之 …

Cross-dataset emotion recognition as an extremely challenging task in the field of EEG-
based affective computing is influenced by many factors, which limits the application of …