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

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 ...

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, ...

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 ...