Feature Request: Integrate KNN with Sprite Sheets for Dynamic Animation Control

[ebowwa]

Overview

Integrate K-Nearest Neighbors (KNN) algorithms with sprite sheet animation selection and blending to enable more dynamic, intelligent, and interactive visual experiences within the framework.

Problem

While sprite sheets are powerful for character animation, transitions between states (walking, running, jumping, emotional states, etc.) are often hard-coded or require manual tuning. This leads to repetitive and sometimes jarring animation transitions.

Proposed Solution

• Use KNN to select the most appropriate sprite or animation sequence based on variables such as velocity, terrain, user input, or other context.
• Implement procedural animation blending by identifying similar frames between different animations and creating smoother state transitions.
• Leverage KNN clustering to optimize sprite atlases, grouping visually similar sprites and improving memory/draw efficiency.
• Enable interactive art by using KNN to map user input (mouse, audio, etc.) to sprite selections for generative or responsive visuals.
• Allow NPC or AI-driven characters to use behavioral or emotional states as input to KNN, resulting in more lifelike animation choices.

Impact

• More organic and responsive animations.
• Potential for generative and interactive art systems.
• Optimized sprite atlas usage and resource management.

Request

Please consider this feature for future development. If there are existing APIs or extension points, guidance on how to prototype this would be appreciated.