Personalized Light Profile Database for Genomic Health Matching
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Solution Overview
Problem
Existing lighting systems fail to adapt to individual human or animal needs based on their health conditions, behaviors, and genomic data, leading to inefficient light exposure.
Innovation Solution
A method and system that generate a database linking light exposure with health conditions and genomic data by identifying users, setting specific light profiles, sensing health and behavior data, and storing this information for personalized light adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic light exposure settings are used for all users, then device complexity is reduced and ease of operation is improved, but adaptability to individual genetic and behavioral needs deteriorates
Solution Approach 1:
The system segments the user population into distinct groups based on genomic data and behavioral characteristics. By dividing users into segments with similar light response profiles, the system can apply tailored light exposure settings to each segment rather than using a one-size-fits-all approach, thereby improving adaptability while managing complexity through grouping.
Solution Approach 2:
The system performs preliminary genotyping and behavioral assessment to predict individual light responses before actual light exposure therapy begins. This preliminary characterization allows the system to pre-determine appropriate light settings based on genomic markers and behavioral traits, enabling personalized treatment plans to be ready in advance without requiring complex real-time adjustments.
2Adaptability or versatility
If personalized light profiles based on genomic data are implemented, then adaptability to individual needs is improved, but loss of information increases due to the complexity of managing and matching genomic data
Solution Approach 1:
The system extracts and isolates specific genomic markers and behavioral indicators that are most strongly correlated with light response. By focusing on a subset of key genetic variants rather than analyzing the entire genome, the system reduces information management complexity while maintaining the ability to provide personalized light profiles based on the most relevant genetic and behavioral factors.
Solution Approach 2:
The system creates simplified reference profiles based on genomic data that can be stored and matched against new users. Instead of managing complex raw genomic sequences, the system generates condensed profile representations that capture essential genetic and behavioral characteristics, making information storage, retrieval, and matching more efficient while preserving personalization capabilities.
3Measurement precision
If comprehensive sensing of health condition and behavior data is performed, then measurement precision of light exposure effects is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The system employs automated sensing mechanisms that continuously monitor health conditions and behavioral responses without requiring active user participation. Sensors automatically collect data on physiological parameters and behavioral metrics, and the system autonomously processes this information to adjust light profiles, eliminating the need for users to manually input data or operate complex measurement devices.
Solution Approach 2:
The system implements continuous feedback loops where sensed health and behavioral data are immediately processed to refine light exposure settings. Measurement precision is improved through real-time monitoring of physiological responses, while ease of operation is maintained through automated feedback-driven adjustments that eliminate manual intervention. The system self-regulates based on measured outcomes without requiring user complexity.
Data Source
AI summary
The present invention relates to a method for generating a database to be used to set illumination of an adjustable light source. The method comprising: for a plurality of different users: identifying an individual user; setting a specific light profile of the adjustable light source, the specific light profile comprising information pertaining to a spectral content and/or intensity of light by which the individual user is exposed to; while exposing the individual user for the specific light profile, sensing data pertaining to a health condition and/or a behavior of the individual user; determining a data set linking the specific light profile, genomic data pertaining to the individual user, and the data pertaining to the health condition and/or the behavior of the individual user sensed while exposing the individual user to the specific light profile; and storing the linked data set in a database. A light control system is further provided.