A5095870148- Gaze Tracking and Assistive Technology
- Virtual Reality Applications and Impacts
- User Authentication and Security Systems
- Face Recognition and Perception
- Biometric Identification and Security
- Social Robot Interaction and HRI
Virginia Tech
2024
The use of ML models to predict a user's cognitive state from behavioral data has been studied for various applications which includes predicting the intent perform selections in VR. We developed novel technique that uses gaze-based adapt dwell-time thresholds aid gaze-only selection. A dataset users performing selection arithmetic tasks was used develop prediction (F1 = 0.94). GazeIntent dwell times based on model outputs and conducted an end-user study with returning new additional varied...
Video-based eye trackers capture the iris biometric and enable authentication to secure user identity. However, is susceptible spoofing another user's identity through physical or digital manipulation. The current standard identify attacks on eye-tracking sensors uses liveness detection. Liveness detection classifies gaze data as real fake, which sufficient detect presentation attacks. such defenses cannot a attack when image inputs are digitally manipulated swap pattern of person. We...
The use of ML models to predict a user's cognitive state from behavioral data has been studied for various applications which includes predicting the intent perform selections in VR. We developed novel technique that uses gaze-based adapt dwell-time thresholds aid gaze-only selection. A dataset users performing selection arithmetic tasks was used develop prediction (F1 = 0.94). GazeIntent dwell times based on model outputs and conducted an end-user study with returning new additional varied...