Design of a Multimodal Oculometric Sensor Contact Lens

Area of Science:

• Ophthalmology
• Human-Computer Interaction
• Biomedical Engineering

Background:

• Oculometric data (gaze, pupil size, accommodation) are crucial for cognitive load and attention analysis.
• Current measurement devices often require restricted user movement and controlled environments.
• Integrated Visual Augmentation Systems (IVAS) increasingly rely on real-time oculometric data.

Purpose of the Study:

• To explore the implementation of gaze direction, pupil size, and accommodative change measurement within a single smart contact lens (SCL).
• To address the technical challenges posed by limited space and energy constraints in SCLs.
• To evaluate the feasibility of combining these three key oculometric functions in one SCL.

Main Methods:

• Reviewing and comparing technical options for integrating oculometric sensors into SCLs.
• Considering recent advancements in SCL technology and miniaturization.
• Analyzing the trade-offs between different implementation strategies concerning power consumption and form factor.

Main Results:

• Demonstrated the potential for SCLs to accurately capture gaze direction, pupil size, and accommodation.
• Identified viable technical approaches for integrating multiple oculometric functions into a single SCL.
• Highlighted the importance of addressing power and volume constraints for practical SCL applications.

Conclusions:

• Smart contact lenses offer a promising, mobile solution for advanced oculometric data acquisition.
• The integration of gaze, pupil, and accommodation sensing in SCLs is feasible, enabling enhanced cognitive load analysis.
• Further development in SCL technology can overcome current limitations, paving the way for widespread adoption in IVAS and other fields.