MONITORING PROFILE
🟢 Cushioned Earth
TabPFN Foundation Model
Natural Grass Trail
High kinetic damping. Chassis vibration down 44%. Sleep-safe rolling.
Grass Index ("Touch Grass")
68%
Time spent on cushioned nature surfaces
Vibration & G-Shock Severity
14 / 100
ISO 2631 Mechanical Vibration Metric
VERTICAL ACCELEROMETER STREAM ($a_z$)
Cadence Decoupling Active
RMS Vibration
0.11g
Peak G-Shock
1.24g
Crest Factor
2.1x
Dominant Harmonic
2.4 Hz
Inference Latency
0.32 ms
DYNAMIC TERRAIN ROUTE (LEAFLET)
Grass
Asphalt
Shock
PHYSICAL SENSOR & SIMULATOR
For Mobile & Desktop Judges
OR TEST WITH SIMULATOR:
HOW PRIOR LABS TABPFN WORKS HERE
Unlike traditional black-box models, TabPFN uses in-context transformer attention trained on structural causal models. Given 60 calibration sensor windows, it classifies physical terrain in a single forward pass (< 15 ms on CPU) with zero tuning loops or cloud dependencies.
CPU-Optimized (Torch CPU)
6D Kinematic Vector
OpenStreetMap (No Google API)
Web Speech API Audio