Gaze Fusion integrates advanced sensor fusion technology which combines inputs from multiple miniaturized sensors, such as IR cameras, accelerometers, and gyroscopes embedded in gaming peripherals (e.g., headsets or glasses).

The system employs AI algorithms to process these inputs in real-time, accounting for different lighting conditions and individual physiological variations.

It uses machine learning models trained on diverse datasets to predict player intentions with high precision and speed, dynamically adjusting sensitivity and calibration in real-time during gameplay.

Gaze Fusion offers highly accurate and responsive eye-tracking that enhances player immersion and expands game mechanics possibilities.

By addressing current technological gaps, it provides game developers with new tools to create innovative gaming experiences, setting a new standard for user interaction.

The technology for sensor fusion and pattern recognition through AI is mature, but its application in dynamic and varied environments like gaming is novel and challenging.

The cost of developing miniaturized, high-quality sensors and robust AI models will be significant but feasible with strategic partnerships and phased R&D.

The landscape is competitive but leveraging proprietary tech refinements and partnerships with gaming giants could ensure market entry.