Abstract: Research on emotion recognition based on EEG signals has made significant progress. Most of the existing studies have focused on supervised learning methods, but real-life data cannot meet ...

Through its integrated approach to algorithms and hardware, AJ2 positions its iris recognition platform as a next-generation biometric solution capable of addressing both security and emerging digital ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

This study addresses the challenges in teacher emotion recognition (TER), namely the lack of high-quality multimodal datasets and insufficient modeling of common and discriminative emotional features ...

On Thursday, Oct. 16, Dr. Safiya U. Noble delivered a presentation titled “AI and Our Future: How AI and Search Engine Algorithms Reinforce Oppression.” Before the presentation, I knew two true things ...

1 Department of Humanities and Social Sciences, Indian Institute of Technology Kanpur, Kanpur, India 2 Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India While ...

Abstract: EEG-based emotion recognition (EER) has gained significant attention due to its potential for understanding and analyzing human emotions. While recent advancements in deep learning ...

Accurate perceptions of emotions are essential for successful social interactions. Emotions are divided into different categories, such as basic emotions (anger, fear, disgust, happiness, sadness, and ...

In clinical settings, accurately understanding patients' emotions and responding appropriately plays a critical role in improving treatment outcomes and patient satisfaction. This technology acquires ...

AI has long been guilty of systematic errors that discriminate against certain demographic groups. Facial recognition was once one of the worst offenders. For white ...