New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

Abstract: Current electroencephalogram (EEG)-based emotion recognition research confronts two main challenges. On the one hand, most EEG emotion datasets have limited stimulus diversity and ...

Musical chills are pleasurable shivers or goosebump sensations that people feel when they resonate with the music they're listening to. They reduce stress and have beneficial side effects, but they ...

The most frequently reported reasons for medicinal cannabis use are for pain relief and improvements in sleep. Although cannabis is believed to have an interconnected role with both pain and sleep, ...

I get asked that question a lot. As an emotional intelligence coach, I’ve received thousands of emails from readers over the years who get caught up in a cycle of emotional thinking, which leads them ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the use of AI to simulate ...

New research looks at EEG's role in real-time monitoring of workers' cognitive and emotional states and its potential in automating the detection of psychological hazards like stress and fatigue, ...

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.

Nahda Nabiilah is a writer and editor from Indonesia. She has always loved writing and playing games, so one day she decided to combine the two. Most of the time, writing gaming guides is a blast for ...

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 ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...