I noticed your feature vector is large and you don't use ML. What's the final statistic that you threshold?

The final statistic I threshold is the Moving Variance of Spatial Turbulence.

The decision is a binary comparison: When moving_variance > threshold then MOTION state (movement detected) else IDLE state.

The features are extracted only during MOTION segments (to save CPU cycles) and published via MQTT.

They serve as rich foundation data for potential external ML models (e.g., to capture nuances like gestures, running, or falling), but they are absolutely not used for the core segmentation decision itself.