VIBE Color Model
A 365-parameter TFLite model that maps emotional state to cinematic color expression. Designed to run on embedded hardware with minimal compute.
Model Description
Given a 5-dimensional emotional coordinate (VAD+CC), returns a cinematic visual treatment — not just a color, but RGB plus independent Energy and Intensity parameters drawn from cinematographic practice.
Architecture: 5→16→12→5 fully connected network Size: 3.5KB Parameters: 365 Format: TFLite (embedded deployment), H5 (inspection/fine-tuning)
Inputs and Outputs
Input: VAD+CC vector — 5 float values in [0, 1]
| Dimension | Meaning |
|---|---|
| Valence | Negative ↔ Positive emotional tone |
| Arousal | Calm ↔ Energized |
| Dominance | Passive ↔ Powerful |
| Complexity | Minimal ↔ Rich |
| Coherence | Chaotic ↔ Harmonious |
Output: 5 cinematic parameters — 5 float values in [0, 1]
| Dimension | Meaning |
|---|---|
| R | Red channel |
| G | Green channel |
| B | Blue channel |
| Energy | How alive/active the display feels |
| Intensity | How pronounced the effect is applied |
Training Data
Trained on danielritchie/cinematic-mood-palette — ~80 curated anchor points mapping emotional states to visual treatments drawn from film and photography.
Validation
Validation is qualitative. The model is evaluated by behavioral coherence — does the output feel cinematically appropriate for the emotional input? Formal quantitative benchmarks are not meaningful for a model of this size and purpose.
Intended Use
Part of VIBE-Eyes — a real-time emotional display system for conversational robots. The model runs on-device, receiving VAD+CC vectors from an edge emotion engine and driving LED color output without any cloud dependency.
Also useful as a lightweight reference implementation for anyone mapping affective state to visual expression in constrained environments.
Limitations
- Small training set (~80 anchor points): functions as a reference structure, not comprehensive coverage
- Culturally specific: draws primarily from Western cinematic tradition
- Interpretive: mappings reflect observed patterns in film, not objective measurements
License
CC-BY-4.0 — use freely with credit
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