Rifatul Islam
Orcid: 0000-0002-4305-9964
According to our database1,
Rifatul Islam authored at least 28 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
IEEE Trans. Vis. Comput. Graph., May, 2026
CoRR, April, 2026
Obscuring the 'Who,' Preserving the 'What': Targeted Eye-tracking Feature Obfuscation in Virtual Reality for Privacy-Utility Balance.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2026
Proceedings of the IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, 2026
A Comparative Study of Data Augmentation Methods for Improving Cybersickness Prediction.
Proceedings of the IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, 2026
2025
CoRR, September, 2025
Human task performance and associated internal states in extended reality: a systematic review of cognitive, psychophysiological, and physiological dimensions.
Frontiers Virtual Real., 2025
Towards Optimized Real-time Cybersickness Detection Framework Using Deep Learning for Standalone Virtual Reality Headsets.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025
Proceedings of the Twenty-sixth International Symposium on Theory, 2025
YouKnowWho: Interpretable Framework for Classifying the Gender from Behavioral Motion Data in Extended Reality (XR).
Proceedings of the Twenty-sixth International Symposium on Theory, 2025
Poster: Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations.
Proceedings of the Twenty-sixth International Symposium on Theory, 2025
Proceedings of the Twenty-sixth International Symposium on Theory, 2025
Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks.
Proceedings of the International Symposium on Mixed and Augmented Reality, 2025
Beyond Supervised Limits: Semi-Supervised Cybersickness Prediction from Physiological Signals with Minimal Labeled Data.
Proceedings of the International Symposium on Mixed and Augmented Reality, 2025
2024
Investigating Personalization Techniques for Improved Cybersickness Prediction in Virtual Reality Environments.
IEEE Trans. Vis. Comput. Graph., May, 2024
Towards Optimized Cybersickness Prediction for Computationally Constrained Standalone Virtual Reality Devices.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024
2023
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2023
2022
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2022
Towards Forecasting the Onset of Cybersickness by Fusing Physiological, Head-tracking and Eye-tracking with Multimodal Deep Fusion Network.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
VR Sickness Prediction from Integrated HMD's Sensors using Multimodal Deep Fusion Network.
CoRR, 2021
CyberSense: A Closed-Loop Framework to Detect Cybersickness Severity and Adaptively apply Reduction Techniques.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021
Cybersickness Prediction from Integrated HMD's Sensors: A Multimodal Deep Fusion Approach using Eye-tracking and Head-tracking Data.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2021
2020
Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation.
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020
Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals.
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020