user-emotion-detection

Emotion-aware mood routing detects user emotions from camera or microphone input, logs a mood signal, and routes a single response like music or a checkin based on pre-fetched emotion context and current mood state.

To route a music suggestion, the system uses pre-fetched emotion_context data alongside current mood state, applying cooldowns and freshness rules to decide whether to route to music, a checkin, or an action.

When emotion_context is missing, the system falls back to mood-based routing and avoids extra tool calls while still producing a routing decision for the user response.

Yes, silent routing behavior avoids spoken replies when not required and integrates detected speech emotions into the mood and music-suggestion pipelines without forcing voice output.

Yes, you can map camera-detected facial expressions into a mood signal logged via the Mood system, which then triggers a routing decision for music, checkin, or action responses.

Apply cooldowns and freshness rules during emotion-based routing to prevent repetitive responses, ensuring that music, checkin, or action triggers respect the current mood state and context freshness.