DESIGN of the STEREOSCOPIC EYE-TRACKING SYSTEM for QUANTATIVE REMOTE SENSING APPLICATIONS

Spatial and temporal data derived from eye movements, compiled while the human eye observes geospatial imagery, retain meaningful and usable information. When human perceives the stereo effect, the virtual three dimensional (3D) model resulting from eye-brain interaction is generated in the mind. If the eye movements are recorded while the virtual model is observed, it is possible to reconstruct a 3D geometrical model almost identical to the one generated in the human brain. Information obtained from eye-movements can be utilized in many ways for remote sensing applications such as geospatial image analysis and interpretation. There are various eye-tracking systems available on the market; however, none of them is designed to work with stereoscopic imagery. We explore different approaches and designs of the most suitable and non-intrusive scheme for stereoscopic image viewing in the eye-tracking systems to observe and analyze 3D visual models. The design of the proposed system is based on the optical separation method, which provides visually comfortable environment for perception of stereoscopic imagery. A proof of concept solution is based on multiple mirror-lens assembly that provides a significant; reduction of geometrical constrains in eye-frame capturing. Two projected solutions: for wide-angle of viewing and helmet-integrated eye-tracker are also discussed here.