Despite the recent advances in supervised ML-based methods for fault bearing detection is
that most published work uses only vibration data for damage detection. However …

Recent years have witnessed a growing interest in EEG-based wearable classifiers of
emotions, which could enable the real-time monitoring of patients suffering from …

This paper proposes a multimodal fusion emotion recognition method based on Dempster-
Shafer evidence theory, which includes electroencephalogram (EEG) and …

In this paper, a new channel selection technique is presented for emotion classification by
electroencephalography (EEG) signals. Audio-visual stimulation is used to generate …

The left and right hemispheres of the brain process emotion differently. Neuroscientists have
proposed two models to explain this difference. The first model states that the right …

情感作为人脑的高级功能, 对人们的个性特征和心理健康有很大的影响, 利用网上公开的脑电
情感数据库(DEAP (Database for emotion analysis using physiological signals) 数据库) …

针对目前大多数脑电波情感识别方法存在的依赖手动特征提取等问题, 提出一种基于卷积神经
网络(convolutional neural network, CNN) 和双向长短时记忆(bidirectional long short-term …

In this research, we present a new emotion recognition model using wavelet packet energy
features using electroencephalography (EEG) data. Wavelet packets has been widely used …

In recent years, research of the human emotional state is becoming importance, especially
in its application for patient monitoring and in the treatment management system of that …

Emotions are vital for communication in daily life and their recognition is important in the
field of artificial intelligence. Music help evoking human emotions and brain signals can …