HMD Vision Assessment With Adaptive Filters for Home Eye Exams
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Solution Overview
Problem
Traditional vision testing methods lack dynamic adjustment of test parameters and cannot be implemented for home use with household devices, leading to less accurate assessments.
Innovation Solution
Implementing a method using a head-mounted display (HMD) with processors and memory to execute a visual assessment application, partitioning the field of view, rendering visual patterns, adjusting vision correction filters based on user responses, and combining filters to determine eyewear prescriptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vision testing methods are used, then the testing process is simple and can be performed with existing equipment, but the assessment accuracy is reduced and dynamic adjustment of test parameters is not possible
Solution Approach 1:
The patent replaces traditional mechanical/optical vision testing equipment with a computational system using a head-mounted display, processors, and software algorithms. The HMD presents visual patterns to the user while sensors capture eye movement data, and processors automatically analyze the data to generate vision assessments, eliminating the need for complex mechanical testing apparatus.
Solution Approach 2:
The system enables users to perform vision testing independently at home without requiring a vision care professional or complex equipment setup. The automated algorithm processes user responses and sensor data to generate personalized vision assessments, allowing users to self-administer the test and receive immediate results.
2Ease of operation
If traditional vision testing methods are used, then the equipment is simple and accessible, but the ability to test eyes and vision at home in a controlled manner is lost
Solution Approach 1:
The head-mounted display serves multiple functions: it presents visual patterns to the user, tracks eye movements through integrated sensors, and provides a controlled testing environment portable enough for home use. This single device replaces multiple separate components (display equipment, tracking sensors, testing software) that would traditionally be required in a clinical setting.
Solution Approach 2:
The system dynamically adjusts test parameters such as visual pattern characteristics, presentation timing, and stimulus properties based on real-time user responses and eye movement data. This adaptive parameter adjustment maintains testing reliability by optimizing conditions for each user while enabling home administration.
3Adaptability or versatility
If traditional vision testing methods are used, then the testing process is straightforward, but personalized and dynamic adjustment of test parameters for each user is not possible
Solution Approach 1:
The system continuously monitors user eye movements and responses during the test, using this feedback to dynamically adjust subsequent visual patterns and test parameters. The sensors capture real-time data on gaze position, fixation duration, and eye movements, which the processing algorithm uses to adapt the testing sequence to each user's visual capabilities.
Solution Approach 2:
The testing system transitions from static, predetermined test sequences to dynamic, adaptive testing where parameters change in real-time based on user performance. The visual patterns, presentation timing, and stimulus properties are continuously modified according to measured eye movement metrics, creating a customized testing experience for each user.
Data Source
AI summary
An eye exam can be performed using an electronic device in a virtual environment to evaluate vision changes of a patient. The electronic device can execute a visual assessment application and display a user interface to create a 3D virtual environment. A predefined video clip can be displayed in the 3D virtual environment and include a plurality of visual sessions corresponding to a sequence of vision tests. While the predefined video clip is played, the electronic device can obtain a stream of sensor data measured by the one or more sensors and determine a plurality of first response parameters to the sequence of vision tests based on the stream of sensor data.