TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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

A Cascaded Ensemble Framework Using BERT and Graph Features for Emotion Detection From English Poetry

Abstract: Researchers have developed complex deep-learning models to extract emotions from poetry, opting for these over lightweight models. However, this approach requires a high volume of resources, ...
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 ...