View source for Dell products l.p. (20240233207). AGGREGATED COLOR PALETTE GENERATION BASED ON USER CONTEXT AND MACHINE LEARNING simplified abstract

=AGGREGATED COLOR PALETTE GENERATION BASED ON USER CONTEXT AND MACHINE LEARNING=


==Organization Name==

[[:Category:dell products l.p.|dell products l.p.]]


[[Category:dell products l.p.]]

==Inventor(s)==

[[:Category:Ryan Nicholas Comer of Round Rock TX (US)|Ryan Nicholas Comer of Round Rock TX (US)]][[Category:Ryan Nicholas Comer of Round Rock TX (US)]]

[[:Category:Erik Summa of Austin TX (US)|Erik Summa of Austin TX (US)]][[Category:Erik Summa of Austin TX (US)]]

[[:Category:Jason Scott Morrison of Chadron NE (US)|Jason Scott Morrison of Chadron NE (US)]][[Category: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 20240233207 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 from these palettes.

Potential Applications:
- Smart lighting systems for homes and offices
- Gaming peripherals with customizable lighting effects
- Ambient lighting in cars based on driver preferences

Problems Solved:
- Personalizing lighting effects based on user context
- Simplifying the process of selecting color palettes for lighting systems

Benefits:
- Enhanced user experience with personalized lighting effects
- Efficient use of color palettes based on user preferences
- Automation of color selection process for lighting systems

Commercial Applications:
Title: Personalized Lighting Systems for Enhanced User Experience
This technology can be used in smart homes, gaming peripherals, and automotive lighting systems to provide personalized and dynamic lighting effects based on user context.

Questions about the technology:
1. How does the system determine the user context for selecting color palettes?
2. What are the potential limitations of using a machine learning algorithm for color palette selection?


==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.



[[Category:G06T11/00]]
[[Category:G06V10/70]]
[[Category:G06V10/774]]
[[Category:CPC_G06T11/001]]