A Deep Learning Architecture for Egocentric Time-to-Saccade Prediction using Weibull Mixture-Models and Historic Priors
Tim Rolff, Susanne Schmidt, Frank Steinicke, Simone Frintrop · 2023
Real-time detection of saccades is of major interest for many applications in human-computer interaction and mixed reality. However, due to relatively low update rates and high latencies of current commercially available eye trackers, gaze events are typically detected after they occur with some delay. This limits interaction scenarios such as intent-based gaze interaction, redirected walking, or gaze forecasting.