IEEE

Hypercomplex Neural Network and Cross-Modal Attention for Multi-Modal Emotion Recognition Using Physiological Signals

Abstract: Multi-modal emotion recognition plays a crucial role in human-computer interaction. Nowadays, many studies have developed fusion algorithms for this purpose. However, two challenges are ...
IEEE

MFENet: A Multi-Feature Extraction Network for Enhanced Emotion Detection Using EEG and STFT

Abstract: Developing computationally efficient models for EEG-based emotion recognition is essential for enabling scalable and responsive brain-computer interface (BCI) systems. However, the inherent ...
Frontiers

Analysis of the interactive effects between sleep quality, trait mindfulness, vigor, and five types of negative emotions using EBICglasso network analysis

1 College of Psychology, Liaoning Normal University, Dalian, China 2 Department of Gastroenterology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China Introduction: Network analysis ...
NPR

Teachers are using software to see if students used AI. What happens when it's wrong?

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...