A5062476293- Emotion and Mood Recognition
- EEG and Brain-Computer Interfaces
- Color perception and design
- Olfactory and Sensory Function Studies
- Advanced Chemical Sensor Technologies
- Visual Attention and Saliency Detection
- Ferroptosis and cancer prognosis
- Advanced Computing and Algorithms
- Anomaly Detection Techniques and Applications
- Neural dynamics and brain function
- Bioactive Compounds and Antitumor Agents
- ECG Monitoring and Analysis
- Gaze Tracking and Assistive Technology
- Scientific Computing and Data Management
- Estrogen and related hormone effects
- Human Pose and Action Recognition
Southwest University
2022-2025
University of Auckland
2024
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...
Convolutional neural networks (CNNs) are commonly employed for image emotion recognition owing to their ability extract local features; however, they have difficulty capturing the global representations of images.In contrast, self-attention modules in a visual transformer network can capture long-range dependencies as features.Some studies shown that an image's and features determine emotions some regions generate emotional prioritization effect.Therefore, we proposed combining multiscale...
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...
Breast cancer represents a significant public health issue with approximately 2.3 million women worldwide being diagnosed breast each year. Early detection and treatment is key to improving outcomes. However, this challenging due the shape changes undergoes during clinical interventions, which make localising tumours difficult. Our aim integrate state-of-the-art image processing techniques, personalised 3D biomechanical modelling, population-based statistical analyses help address challenges...
Virtual Reality (VR) technology enhanced by olfactory stimulation has introduced novel dimensions to human-computer interaction (HCI). While there have been studies utilizing electrocardiogram (ECG) signals explore the impact of olfaction on emotional experiences traditional multimedia users, little research delved into influence heightened emotion recognition within virtual reality scenarios. To this issue in depth, we first initiated an experiment a VR environment, collecting ECG data from...
Macro-expressions are widely used in emotion recognition based on electroencephalography (EEG) because of their use as an intuitive external expression. Similarly, micro-expressions, suppressed and brief emotional expressions, can also reflect a person's genuine state. Therefore, researchers have started to focus studies micro-expressions EEG. However, compared the effect artifacts generated by macro-expressions EEG signal, it is not clear how affect signals. In this study, we investigated...