Dynamic Color Temperature Scaling for Display Blue Light Control
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Solution Overview
Problem
Display devices lack the ability to dynamically adjust color temperature and luminance based on user preferences, which can affect physiological responses such as melatonin levels and circadian rhythms, and existing adjustments may not consider the need to balance blue light exposure for comfort and alertness.
Innovation Solution
A method and device that dynamically adjust the color temperature and luminance of display outputs by shifting the reference white point of video frames, allowing users to increase or decrease blue light exposure based on preferences, using a processor and computer-readable medium to detect optimal adjustment times and implement changes in the display settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the color temperature and luminance of display output are dynamically adjusted based on user preference, then blue light exposure can be optimized for physiological comfort and alertness, but the complexity of the display system increases due to additional processing requirements
Solution Approach 1:
The patent introduces an intermediary processing layer between the video source and display device that adjusts color temperature and luminance without modifying the display hardware itself. This mediator (processing device) handles the complexity of dynamic adjustments while the display device remains relatively simple, resolving the contradiction by externalizing the complex functionality to a separate component.
Solution Approach 2:
The system dynamically changes color temperature and luminance parameters of the video signal based on user preference and timing information. By adjusting these parameters in the video stream rather than modifying the display device hardware, the system achieves physiological optimization while maintaining display device simplicity, thus resolving the technical contradiction.
2Object-affected harmful factors
If color temperature adjustment is applied to all image frames, then blue light exposure is uniformly optimized, but processing time and computational resources increase
Solution Approach 1:
The patent applies color temperature adjustment selectively rather than uniformly to all video content. Based on user preference settings and timing information, the system adjusts color temperature only when and where appropriate, avoiding unnecessary processing of all frames. This partial action approach optimizes blue light exposure control while reducing computational overhead and processing time.
Solution Approach 2:
The system uses timing information to anticipate when color temperature adjustments should occur, allowing pre-processing of video frames before they reach the display. This preliminary action enables optimized blue light control to be prepared in advance during less critical processing windows, reducing real-time processing demands and overall system latency.
3Object-affected harmful factors
If dynamic color temperature scaling is implemented, then user comfort and physiological well-being are improved, but the ease of operation decreases due to automated control mechanisms
Solution Approach 1:
The system automatically adjusts color temperature based on timing information and user preference settings without requiring continuous user intervention. Once the user provides initial preferences and timing parameters, the system self-manages the dynamic adjustments, improving physiological well-being while maintaining operational simplicity. The automated mechanism eliminates the need for users to manually adjust settings throughout the day.
Solution Approach 2:
The system incorporates user preference feedback to automatically tailor color temperature adjustments. By capturing initial user preferences and timing information, the system creates a feedback loop that automatically optimizes blue light exposure without requiring ongoing user input. This feedback mechanism resolves the contradiction by making the complex automated control transparent and adaptive to user needs.
Data Source
AI summary
In one example, the present disclosure describes a device, computer-readable medium, and method for dynamically scaling the color temperature and luminance of a display output according to a user preference. For instance, in one example, a video output signal comprising a plurality of image frames is delivered to a display device. A time is detected at which to adjust an amount of blue light emitted by the display device, in accordance with a user preference. The color temperature of a subset of the plurality of image frames that have yet to be delivered to the display device is adjusted from a default color temperature to an adjusted color temperature that scales the amount of blue light emitted by the display device. The subset of the plurality of image frames is then delivered to the display device, subsequent to the adjusting.