Oculometric Digital Marker Detection via Video Deconvolution

The patent uses a camera to capture images of the eye, creating a visual copy of the eye's state. This copy is then processed to extract oculometric parameters, replacing the need for complex dedicated measurement devices while maintaining measurement capability.

The patent replaces mechanical eye tracking devices with an optical system (camera) and computational processing. Instead of using physical sensors to directly measure eye movements, the system uses images and deconvolution algorithms to derive the same information, simplifying the overall system.

The patent employs standard camera technology and computational algorithms that can be implemented with inexpensive components. Instead of requiring expensive dedicated eye tracking hardware, the system uses readily available camera technology combined with software processing to achieve the same measurement goals.

The invention replaces costly mechanical eye tracking equipment with a camera-based optical system and digital processing. This substitution maintains measurement precision while dramatically reducing hardware costs through the use of standard imaging technology and computational algorithms.

The patent transitions from static, controlled lab conditions to dynamic, real-world monitoring. The system can capture eye movements and responses in various lighting conditions and environmental contexts, allowing continuous monitoring without requiring controlled settings. This dynamic approach maintains measurement precision while greatly improving ease of operation.

The system handles varying parameters such as lighting conditions, camera distance, and environmental factors through computational deconvolution and algorithmic correction. By changing the approach from controlling physical parameters to compensating for parameter variations through software, the system maintains accuracy while enabling flexible, convenient operation in diverse settings.