Charalambos Poullis

Topic

redirected walking

A collection of 3 issues

A novel AI-driven approach to redirected walking in virtual reality that eliminates the need for eye-tracking hardware.

Our patent "Methods and Systems for Real-Time Saccade Prediction" has been granted. TL;DR: A machine learning system that predicts natural saccadic eye movements in real-time, enabling redirected walking in virtual environments by leveraging inattentional blindness—without requiring expensive eye-tracking equipment or artificially triggering major saccades in users.

Enabling Saccadic Redirection Through Real-time Saccade Prediction

The paper Enabling Saccadic Redirection Through Real-time Saccade Prediction by Yashas Joshi and Charalambos Poullis has been accepted for publication in the Computer Games and Virtual Worlds journal. A provisional patent has been issued for this technology (Licensing contact: Axelys). A short video presentation of the technique is shown below.

Managing real-world and virtual motion

A US Patent was published for the technology presented in the IEEE Access journal and the ACM SIGGRAPH poster on redirected walking by Yashas Joshi and Charalambos Poullis. TL;DR: Navigating large-scale virtual environments in room-scale physical spaces using natural locomotion is problematic since users will most certainly encounter obstacles,