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

danielritchie/vibe-color-model

VIBE Color Model

Model Description