About Emotional Fluid
How it works
The neural emotion model runs during offline analysis, producing per-frame emotion vectors with intensities for categories including joy, sadness, anger, tension, release, nostalgia, wonder, and energy. These emotion values drive a parameter mapping layer that translates emotions to fluid simulation parameters: emotion valence maps to color temperature, arousal maps to flow speed, dominance maps to viscosity, and complexity maps to turbulence. The fluid solver is a standard GPU Navier-Stokes implementation with the audio-driven parameters updated each frame. Color injection positions are distributed across the canvas with emotion-mapped colors and force vectors.
Audio Features
- ▸ Emotion Detection
- ▸ Valence
- ▸ Arousal
- ▸ Spectral Warmth
Best For
- ▸ Singer-Songwriter & Ballads
- ▸ Film Scores & Soundtracks
- ▸ Therapy & Wellness Content
- ▸ Emotional Storytelling
MusicMind Engine
Tension Analysis (L4) maps harmonic tension to fluid turbulence and viscosity, Key Color Mapping (L6) selects the emotional color palette from the detected key's warmth, and Narrative Arc (L7) paces fluid energy injection to follow the song's dramatic emotional contour.
Learn how MusicMind analyzes music →Science Behind This Effect
Emotional Fluid's viscosity and color saturation are driven by the valence-arousal model from tempo-emotion research — high arousal creates turbulent flow, low arousal creates gentle drift.
Learn more: Tempo & Emotional Response →