About Particle Swarm Ecosystem
How it works
Each particle maintains position, velocity, and acceleration. Each frame, three steering forces are computed: cohesion (steer toward local center of mass), alignment (match local average velocity), and separation (avoid crowding). The weights of these three forces are mapped to bass, mid, and high frequency energy respectively. An additional global attractor force pulls particles toward the screen center with strength inversely proportional to RMS energy (loud = freedom, quiet = cohesion). Spatial hashing accelerates neighbor queries for O(n) performance. All particles are rendered as a single instanced point mesh with velocity-aligned sprites for directional motion cues.
Audio Features
- ▸ Bass Energy
- ▸ Mid Energy
- ▸ High Energy
- ▸ RMS Energy
Best For
- ▸ Nature Documentaries
- ▸ Ambient & Organic Music
- ▸ Generative Art Shows
- ▸ Science Communication
MusicMind Engine
Section Detection (L1) switches flocking behavior presets between song sections, Build Detection (L5) triggers swarm fragmentation and regrouping on drops, and Spatial Intelligence (L8) spreads the swarm across depth layers based on stereo width.
Learn how MusicMind analyzes music →