Composite well-being score derived from gait energy, movement fluidity, and breathing-based affect inference. Sampled from CSI motion and respiration channels on the ESP32-S3.
Real-time happiness score, gait energy, breathing waveform, and affect inference from the ESP32-S3 CSI/respiration channels. Sample rate is 1 Hz on the composite output.
Aggregated happiness and wellbeing trends over time. Window aggregation is local-only.
Correlations and patterns mined from the rolling 24-hour buffer. All compute is on-device.
| When | Mean | Length |
|---|---|---|
| — | ||
Establish per-environment baselines for gait energy and respiration. Stand still during the baseline step, then walk a normal pace during the gait step.
Sensor topology, firmware, and connectivity for the ESP32-S3 deployment of Happiness Score.
| Event | Hz | Payload |
|---|---|---|
| happiness_score | 1 | { value: 0–100, ts } |
| gait_energy | 5 | { energy: float, fluidity: 0–1 } |
| affect_state | 1 | { state: enum, conf: 0–1 } |
| wellbeing | 0.1 | { score: 0–100, window: "10m" } |
Composite weights, sampling, and notification preferences. Stored locally.