Methods and systems for real-time saccade prediction

Abstract

Navigation of a virtual environment (VE) can mean navigating a VE that is spatially larger than the available Physical Tracked Space (PTS). Accordingly, the concept of redirected walking was introduced in order to provide a more natural way of navigating a VE, albeit with many restrictions on the shape and size of the physical and virtual spaces. However, prior art techniques have limitations such as requiring eye-tracking increasing costs and complexity of the user's head mounted display system or triggering major saccades in the user. Accordingly, the inventors have established a novel technique which overcomes these limitations. The technique is based on a machine learning/artificial intelligence system that predicts saccades such that the psychological phenomenon of inattentional blindness can be applied for re-directed walking without requiring the triggering major saccades in the users, complex expensive systems, etc.