What if your smartwatch could tell when you were struggling emotionally and offer support before you even thought to ask?

Abstract: This paper presents a comprehensive framework for multi-emotion detection using electroencephalogram (EEG) signals, focusing on feature extraction, channel selection, feature selection, and ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

This paper proposes a novel deep learning framework for music emotion recognition based on multimodal data fusion. To address limitations of existing approaches, such as weak cross genre ...

Abstract: Emotion detection is a pivotal research area spanning diverse fields. Despite advancements in existing methods enhancing detection accuracy and robustness through various research ...

Emotion recognition from EEG signals has been one of the most promising areas due to its potential in enhancing human–computer interaction, especially in adaptive systems. This paper proposes a novel ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...