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 ...
IEEE

Emotion Transition Recognition Using Multimodal Physiological Signal Fusion

Abstract: Most existing emotion recognition studies rely on discrete stimulus paradigms under controlled laboratory conditions, failing to capture the inherently dynamic and transitional nature of ...
techtimes

Emotion AI and Affective Computing: Revolutionizing Technology or Fueling AI Privacy Concerns

Emotion-detecting AI bridges human feelings and technology, offering benefits while sparking important debates on privacy and ethical use. Pixabay, Alexandra_Koch Emotion AI, also known as affective ...