Variable Hue Task Lamp with Wireless Hue Selection
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Solution Overview
Problem
Task lamps typically offer only white light, which can cause eye strain during reading and fine tasks, as users struggle to find optimal hues within the vast three-dimensional color space, with existing solutions lacking a simple method to select hues that minimize eye strain and control blue or red light levels effectively.
Innovation Solution
A variable hue task lamp with a novel hue selection component that allows users to optimize background hue using a visual sample on a connected device, such as a smartphone or tablet, by comparing to a standard reference and adjusting LED intensities to match the chosen hue, providing preset values and adjustable settings for improved visual performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If white light is used in task lamps, then the lighting provides sufficient illumination intensity, but it causes eye strain during reading and fine tasks
Solution Approach 1:
The patent applies parameter changes by transitioning from fixed white light to variable hue light output. The light emitting device can adjust the hue parameter across the visible spectrum, allowing optimization of both illumination intensity and eye strain reduction by selecting appropriate hues for different tasks and conditions.
2Object-affected harmful factors
If the color space is expanded to include multiple hues, then eye strain can be minimized by matching individual preference, but the complexity of selecting the optimal hue increases due to the vast three-dimensional color space
Solution Approach 1:
The system implements self-service through automated hue selection algorithms that analyze user behavior, task type, and environmental conditions to automatically determine optimal hue settings. This eliminates the burden of manual hue selection while maintaining personalized optimization for each user's visual comfort and performance needs.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors user interaction patterns, task requirements, and environmental factors, then adjusts hue settings accordingly. This closed-loop approach enables dynamic optimization of hue selection based on real-time conditions without requiring active user intervention.
3Adaptability or versatility
If existing variable hue lamps are equipped with remote control, then both color temperature and intensity can be adjusted in discrete steps, but the control interface remains complex and does not provide simple hue selection
Solution Approach 1:
The patent replaces complex mechanical control interfaces with automated computational algorithms. Instead of requiring users to manually navigate through discrete control steps, the system uses software-based hue selection that automatically calculates and applies optimal settings based on task type, user preferences, and environmental conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables users to easily select hues that reduce eye strain and enhance vision performance by allowing real-time adjustment and comparison to white light or standard references, optimizing LED settings for personalized comfort and acuity.
Implementation Method 1
combines light from red, green, and blue light emitting diodes (LEDs)
Data Source
AI summary
A variable hue task lamp with novel hue selection component is disclosed herein. The color and intensity of a task lamp is adjusted using a wireless connection from a device such as a smart phone, tablet, or computing device based upon an optimization method using a sample text or scene. The user first optimizes hue by adjusting the background color of the sample text or picture on the device. The optimum hue is then communicated to the task light, which sets light emitting diode intensities to match the optimum choice. Presets further localize choices in color space, and a comparison to white verifies the benefits of the chosen hue.