A5103095907- EEG and Brain-Computer Interfaces
- Advanced Computational Techniques and Applications
- Emotion and Mood Recognition
- Color perception and design
- Olfactory and Sensory Function Studies
- Gaze Tracking and Assistive Technology
- Oral microbiology and periodontitis research
- Advanced Decision-Making Techniques
- Rough Sets and Fuzzy Logic
- AI in cancer detection
- Service-Oriented Architecture and Web Services
- Dental Radiography and Imaging
- ECG Monitoring and Analysis
- Image Processing and 3D Reconstruction
Southwest University
2022-2023
Taiyuan University of Technology
2012
Emotion is a human attitude experience and corresponding behavioral response to objective things. Effective emotion recognition important for the intelligence humanization of brain-computer interface (BCI). Although deep learning has been widely used in recent years, based on electroencephalography (EEG) still challenging task practical applications. Herein, we proposed novel hybrid model that employs generative adversarial networks generate potential representations EEG signals while...
Olfactory-enhanced virtual reality (OVR) creates a complex and rich emotional experience, thus promoting new generation of human-computer interaction experiences in real-world scenarios. However, with the rise (VR) as mood induction procedure (MIP), few studies have incorporated olfactory stimuli into emotion three-dimensional (3D) environments. Considering differences electroencephalography (EEG) dynamics between sensory stimuli, all previous two-dimensional (2D) 3D been less effective...
Rough set theory can link classification and knowledge together. Therefore, rough is applied to the image low-level semantic feature extraction in this paper. First, decision table of features constructed, then reduction reduce table, which removes redundant samples attributes, identify effective features. Knowledge only deal with discrete data, therefore K-means clustering used normalize attribute before reduction. Finally, we use support vector machine(SVM) verify validity extracted The...