Electronic Display Device Visual Profile Adaptation
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Solution Overview
Problem
Existing electronic image display devices require users to manually adjust display parameters such as magnification, contrast, and brightness, which can be cumbersome, especially for visually impaired individuals, and these settings often need to be reconfigured for different devices and content types, leading to visual fatigue and discomfort.
Innovation Solution
A method and device that automatically adapt display parameters based on the user's visual and oculomotor profile, environmental conditions, and the type of content being viewed, using sensors and a database to optimize settings for enhanced visual comfort and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of display parameters is implemented, then users can customize settings for different content types and conditions, but the operation becomes cumbersome and time-consuming especially for visually impaired individuals
Solution Approach 1:
The system automatically adjusts display parameters by analyzing the user's visual responses to different settings. The device performs self-calibration by presenting test content at various parameter levels and detecting user responses through sensors, eliminating the need for manual adjustment while achieving personalized optimization
Solution Approach 2:
The system dynamically modifies multiple display parameters (brightness, contrast, magnification, refresh rate) based on detected user responses. By systematically varying these parameters and measuring user reaction, the system automatically identifies optimal settings without requiring manual user input
2Reliability
If display parameters are optimized for specific visual conditions, then visual comfort is improved, but the settings need to be reconfigured for different devices and content types leading to repeated adjustment
Solution Approach 1:
The system creates a universal user profile that can be transferred across different electronic image display devices. By storing visual capability data and preferred parameter ranges in a portable format, the optimization achieved on one device can be applied to other devices, eliminating repeated configuration needs
Solution Approach 2:
The system performs preliminary characterization of the user's visual capabilities through automated testing before actual use. This initial assessment establishes a baseline profile that can be quickly applied to new devices and content types, avoiding the need for repeated full optimization processes
3Adaptability or versatility
If multiple display parameters are adjusted simultaneously, then comprehensive optimization is achieved, but the complexity of the adjustment process increases
Solution Approach 1:
The system implements automated feedback loops where sensor data from user responses is continuously analyzed to adjust multiple display parameters simultaneously. The feedback mechanism automatically correlates user reactions with specific parameter combinations, enabling comprehensive optimization without requiring the user to understand or manually coordinate multiple adjustments
Data Source
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AI summary
The invention relates to a method for customizing an electronic image display device having at least one display parameter of variable value. According to the invention, the method comprises the following steps: a) linking the electronic image display device (10) to a user database (101), determining and recording at least one value of an evaluation parameter for the visual and oculomotor profile of a user (30); b) linking the electronic image display device (10) to a display database (102) and making a digital record comprising a plurality of values for the display parameter which are associated with an electronic image display device; c) selecting an optimum value for the display parameter from among the plurality of display parameters values in the digital record that are associated with the electronic image display device (10) in the display database (102) according to the visual acuity measurement associated with this user in the user database (101); d) automatically applying the optimum value for this image display parameter to the electronic image display device.