Eye-Mounted Contact Lens Context Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing eye-tracking technologies face challenges in efficiently managing power consumption and data bandwidth, particularly in electronic contact lenses, due to the need for continuous image capture and processing, which limits their functionality and battery life.
Innovation Solution
The system employs eye-tracking sensors to detect specific eye movement patterns, allowing the electronic contact lens to activate image capture and processing only when necessary, using a combination of sensors, a femtoimager, and a femtoprojector to infer context and perform functions like facial recognition and text translation, while maintaining low power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If continuous image capture and processing is performed, then functionality and performance are improved, but power consumption and data bandwidth increase
Solution Approach 1:
The system performs image capture and processing periodically or event-driven based on eye movement patterns, rather than continuously. The eye tracking sensors continuously monitor eye movements, and only trigger image capture when specific patterns are detected, creating a periodic action cycle that reduces overall power consumption while maintaining necessary functionality
Solution Approach 2:
The eye tracking system serves itself by using its own sensor data to control the image capture process. The eye movement patterns detected by the tracking sensors automatically trigger or suppress image capture without external intervention, enabling the system to self-regulate its power consumption based on actual functional needs
2Adaptability or versatility
If continuous image capture and processing is performed, then functionality and performance are improved, but data bandwidth increases
Solution Approach 1:
The system extracts only the necessary image data based on detected eye movement patterns. Instead of continuously capturing and processing all images, it selectively captures images only when eye movements indicate a need for processing, thereby extracting only the essential data required for functionality while reducing overall data bandwidth requirements
Solution Approach 2:
The system performs partial image capture and processing only when needed, rather than excessive continuous processing. By using eye movement patterns as a trigger mechanism, it performs just enough image capture and processing to maintain functionality, avoiding excessive data generation and bandwidth consumption
Data Source
AI summary
Humans may exhibit characteristic patterns of eye movements when looking at specific objects. For example, when a person looks at the face of another person, their eyes exhibit a certain pattern of movements and saccades as they look at the face. An electronic contact lens includes eye tracking sensors and an outward looking imaging system that may capture images of the user's environment. When the eye tracking sensors detect the pattern of eye movements characteristic of looking at a face, the imaging system becomes active and captures images and performs facial recognition to identify the face using the captured images. The results of the facial recognition may be displayed to the user using a projector of the electronic contact lens.