5 papers
A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognition
Stefanos Gkikas, Yang Guo, Guangliang Li +3
Mixed emotions represent a clinically relevant but still underexplored target for automatic emotion recognition. EEG provides millisecond-level access to neural activity, yet most…
One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment
Stefanos Gkikas, Christian Arzate Cruz, Thomas Kassiotis +3
Accurate and continuous estimation of cognitive workload is fundamental to creating adaptive human-machine systems. However, designing architectures that balance representational c…
A Lightweight Transformer for Pain Recognition from Brain Activity
Stefanos Gkikas, Christian Arzate Cruz, Yu Fang +6
Pain is a multifaceted and widespread phenomenon with substantial clinical and societal burden, making reliable automated assessment a critical objective. This paper presents a lig…
Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech
Edwin C. Montiel-Vazquez, Christian Arzate Cruz, Stefanos Gkikas +3
Co-speech gestures increase engagement and improve speech understanding. Most data-driven robot systems generate rhythmic beat-like motion, yet few integrate semantic emphasis. To…
When and How to Express Empathy in Human-Robot Interaction Scenarios
Christian Arzate Cruz, Edwin C. Montiel-Vazquez, Chikara Maeda +1
Incorporating empathetic behavior into robots can improve their social effectiveness and interaction quality. In this paper, we present whEE (when and how to express empathy), a fr…