2 citations · 2 across the 9 of their papers we have counts for
11 papers
Towards a Unified Modality-Agnostic Multimodal Framework for Cognitive Workload Assessment
Stefanos Gkikas, Christian Arzate Cruz, Calvin Joseph +2
Cognitive workload reflects the mental effort required during task performance and is central to the design of adaptive human-machine systems. The use of biosignals to measure cogn…
UNWIND: Any-Length Facial Video for Stress Detection without Temporal Windowing
Stefanos Gkikas, Christian Arzate Cruz, Eric Nichols +2
Automatic stress recognition from facial video provides a non-contact approach for affective monitoring. However, most existing video-based methods divide complete recordings into…
FUSE: Frame-Unified Stress Estimation from Facial Video
Stefanos Gkikas, Thomas Kassiotis, Yang Guo +2
Automatic stress detection from facial video offers a practical path to non-intrusive affect monitoring, yet existing video-based approaches commonly decompose full recordings into…
Beyond the Raw Waveform: Fusing Visual Representations of EDA for Stress Detection
Stefanos Gkikas, Thomas Kassiotis, Yang Guo +5
Electrodermal activity (EDA) is widely used in automatic stress detection, yet most pipelines treat it only as a raw one-dimensional waveform. This study examines whether complemen…
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…
Explainable graph attention network for stress recognition (StressGAT) via differential action units
Thomas Kassiotis, Stefanos Gkikas, Nikolaos Smyrnis +1
Stress is a dynamic process characterized by significant individual variability in facial expression. Traditional architectures, such as Recurrent Neural Networks (RNNs) and Convol…
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…
Reflections on Diversity: A Real-time Virtual Mirror for Inclusive 3D Face Transformations
Paraskevi Valergaki, Antonis Argyros, Giorgos Giannakakis +1
Real-time 3D face manipulation has significant applications in virtual reality, social media and human-computer interaction. This paper introduces a novel system, which we call Mir…
Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity
Mohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis +2
Human emotions analysis has been the focus of many studies, especially in the field of Affective Computing, and is important for many applications, e.g. human-computer intelligent…