18150784. AGGREGATED COLOR PALETTE GENERATION BASED ON USER CONTEXT AND MACHINE LEARNING simplified abstract (Dell Products L.P.)
Contents
AGGREGATED COLOR PALETTE GENERATION BASED ON USER CONTEXT AND MACHINE LEARNING
Organization Name
Inventor(s)
Ryan Nicholas Comer of Round Rock TX (US)
Jason Scott Morrison of Chadron NE (US)
AGGREGATED COLOR PALETTE GENERATION BASED ON USER CONTEXT AND MACHINE LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18150784 titled 'AGGREGATED COLOR PALETTE GENERATION BASED ON USER CONTEXT AND MACHINE LEARNING
The patent application describes a system that uses a machine learning algorithm to determine a color palette based on user context and apply lighting effects to connected systems or peripherals.
- The system retrieves user context and analyzes it to determine a set of colors associated with the user context.
- It generates a set of color palettes based on the user context and then creates an aggregate color palette based on these palettes.
Potential Applications: - Smart lighting systems for homes and offices - Gaming peripherals with customizable lighting effects - Interior design applications for color selection
Problems Solved: - Simplifying the process of choosing color palettes for lighting effects - Personalizing lighting based on user context
Benefits: - Enhanced user experience with personalized lighting effects - Efficient color palette selection process - Seamless integration with connected systems and peripherals
Commercial Applications: Title: "Smart Lighting System with Personalized Color Palettes" This technology can be used in smart home devices, gaming peripherals, and interior design software to offer personalized lighting effects based on user context, enhancing user experience and customization options.
Prior Art: Readers can start searching for prior art related to this technology in the fields of machine learning algorithms for color selection, smart lighting systems, and personalized user experiences.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for color selection, smart lighting technologies, and user context analysis to enhance the capabilities of this system.
Questions about the Technology: 1. How does the system determine user context for color palette selection? The system retrieves user context data such as location, time of day, and user preferences to determine the color palette. 2. What are the key factors considered in generating the aggregate color palette? The system considers the set of color palettes generated based on user context to create an aggregate palette that best represents the user's preferences and surroundings.
Original Abstract Submitted
Systems and methods described herein may provide a system that utilizes a machine learning algorithm to determine a color palette based on user context and assigning colors of the color palette to connected systems or peripherals to apply lighting effects. A method may include retrieving, by an information handling system, user context; analyzing, by the information handling system, user context to determine a plurality of colors associated with the user context; generating, by the information handling system, a set of color palettes based, at least in part, on the user context; and generating, by the information handling system, an aggregate color palette based, at least in part, on the set of color palettes. Other aspects are also disclosed.
