Abstract: This systematic review investigates the application of smart glasses as an assistive technology for visually impaired individuals, focusing on real-time emotion recognition powered by deep ...

Abstract: Emotion recognition is challenging due to the emotional gap between emotions and audio-visual features. Motivated by the powerful feature learning ability of deep neural networks, this paper ...

LibEER estabilshes a unified evaluation framework with standardized experimental settings, enabling unbiased evaluations of over representative deep learning-based EER models across the four most ...

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As artificial intelligence (AI) models are increasingly capable of producing more life-like content, there has been an understandable hesitancy regarding “deepfakes” and their potential negative ...

Emotion recognition using EEG signals enables clinicians to assess patients’ emotional states with precision and immediacy. However, the complexity of EEG signal data poses challenges for traditional ...

In this research, we study the cognitive workload of aircraft pilots during a simulated takeoff procedure. We propose a proof-of-concept setup environment to gather heart rate, pupil dilation, and ...

This exploration aims to study the emotion recognition of speech and graphic visualization of expressions of learners under the intelligent learning environment of the Internet. After comparing the ...