HMD Media Compensation for Multifocal Eyewear Prescriptions
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Solution Overview
Problem
Traditional methods for visual acuity assessment 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 virtual vision test on electronic devices with adaptive methods using sensors, audio instructions, and eye-tracking cameras to dynamically adjust visual stimuli and audio feedback based on user responses, enabling personalized vision testing and media content compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional visual acuity assessment methods are used, then the testing process is simple and can be implemented with household devices, but the assessment accuracy is reduced due to inability to dynamically adjust test parameters
Solution Approach 1:
The system dynamically adjusts visual stimulus parameters (size, contrast, duration, inter-stimulus interval) based on real-time user responses detected by sensors. The test transitions from static predetermined parameters to adaptive dynamic parameters that optimize measurement precision for each user's visual capabilities.
Solution Approach 2:
The system implements closed-loop feedback by detecting user responses through sensors (eye tracking, head movement, facial expressions) and using this feedback to adaptively adjust subsequent visual stimuli parameters. This feedback mechanism enables the system to maintain optimal test conditions while improving assessment accuracy.
2Adaptability or versatility
If adaptive vision testing with multiple sensors and audio instructions is implemented, then personalized feedback and assessment accuracy are improved, but the device complexity and cost increase
Solution Approach 1:
The system uses a multi-functional integrated approach where a single electronic device platform (smartphone, tablet, or computer) serves multiple purposes: displaying visual stimuli, capturing user responses through various sensors, providing audio instructions, and processing test results. This universal platform reduces the need for separate dedicated components for each function.
Solution Approach 2:
The system employs automated response detection using the device's existing sensors (camera for eye tracking, microphone for vocal responses, accelerometer for head movement detection) to automatically capture and analyze user responses without requiring additional specialized input devices. The system self-calibrates and adapts based on detected responses.
3Measurement precision
If traditional static vision tests are used, then the testing procedure is straightforward and quick to administer, but the test cannot be dynamically adjusted to user responses leading to less accurate results
Solution Approach 1:
The system automatically detects user responses through sensors (eye movement tracking, head position detection, facial expression analysis) and uses this feedback to dynamically adjust test parameters without requiring manual intervention from the administrator. This automated feedback loop maintains measurement precision while preserving ease of operation.
Solution Approach 2:
The system automatically modifies test parameters (stimulus size, contrast, presentation duration, inter-stimulus interval) based on detected user responses, transitioning from fixed static parameters to adaptive dynamic parameters. This parameter adaptation occurs automatically without increasing operational complexity for the administrator.
Data Source
AI summary
This application is directed to media content compensation at an electronic device having a head-mounted display. The electronic device determines a multifocal eyewear prescription of a user associated with the electronic device. The multifocal eyewear prescription includes a multifocal parameter for a lens having a plurality of focal lengths. The electronic device obtains input media content, converts the input media content to corrective media content based on the multifocal eyewear prescription of the user, and renders, on the HMD, the corrective media content. In some embodiments, the lens includes a plurality of segments corresponding to the plurality of focal lengths. Each image frame of the input media content is divided into a plurality of regions based on the plurality of segments. The electronic device compensates the plurality of regions of the input media content based on the plurality of focal lengths to generate the corrective media content.