73 citations · 275 across the 13 of their papers we have counts for
5 papers · 1 filter
Focused State Recognition Using EEG with Eye Movement-Assisted Annotation
Tian-Hua Li, Tian-Fang Ma, Dan Peng +2
With the rapid advancement in machine learning, the recognition and analysis of brain activity based on EEG and eye movement signals have attained a high level of sophistication. U…
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition
Xun Wu, Wei-Long Zheng, Bao-Liang Lu
Compared with the rich studies on the motor brain-computer interface (BCI), the recently emerging affective BCI presents distinct challenges since the brain functional connectivity…
A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG
Wei-Long Zheng, Bao-Liang Lu
Objective. Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estima…
Multimodal Emotion Recognition Using Multimodal Deep Learning
Wei Liu, Wei-Long Zheng, Bao-Liang Lu
To enhance the performance of affective models and reduce the cost of acquiring physiological signals for real-world applications, we adopt multimodal deep learning approach to con…
Identifying Stable Patterns over Time for Emotion Recognition from EEG
Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu
In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for emotion recognition using a machine learning approach. Up to now, various findings of acti…