YouKnowWho: Interpretable Framework for Classifying the Gender from Behavioral Motion Data in Extended Reality (XR)
Open Access
- 23 October 2025
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 485-490
Abstract
No abstract availableThis publication has 12 references indexed in Scilit:
- Balancing usability, user experience, security and privacy in XR systems: a multidimensional approachInternational Journal of Information Security, 2025
- Cross-Domain Gender Identification Using VR Tracking Data2024
- Innovative Approaches to Gender Classification through Unsupervised Machine Learning and Multi-Activity FusionAnnual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
- Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data2024
- A Decade of Progress in Human Motion Recognition: A Comprehensive Survey From 2010 to 2020IEEE Access, 2024
- Identifying key gait parameters in gender recognition and classification performance analysis using machine learning algorithmsInternational Journal of Medical Engineering and Informatics, 2024
- You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual RealityIEEE Access, 2023
- Predicting Gender via Eye Movements2022
- Gender recognition using motion data from multiple smart devicesExpert Systems with Applications, 2020
- Attention-based LSTM for Aspect-level Sentiment Classification2016