HLM-Micro-gesture-v0
6-class gesture recognition from 6-axis accelerometer + gyroscope data in the HLM-Micro tier. Same architecture as the other Micro checkpoints — only the classifier head and training task differ.
Access
Trained weights and inference code are available through the Early Access program or a commercial engagement.
Task
6-class gesture classification on an IMU window (~1 second at typical wearable sampling rates).
| Class | Signature (synthetic proxy) |
|---|---|
still | Device at rest |
shake | Rapid lateral oscillation |
tap | Sharp single impulse |
circle | Smooth yaw-dominant rotation |
walk | Quasi-periodic gait rhythm |
throw | Accelerate → release → impact → decay |
Headline
The public checkpoint is trained on synthetic gesture signatures and reaches ceiling accuracy on the training-time benchmark. Real-world IMU data (user variability, sensor noise, sampling drift) will land lower — expect 75–92% on real data. Commercial engagement includes retraining on your target user population.
Hardware integration
Designed to be wire-compatible with common ESP32 + MPU6050 firmware used in the Industrial edge hardware reference. A model trained on this task can be dropped into a physical sensor node without feature-layout changes.
Positioning
| Scenario | Fit |
|---|---|
| Consumer wearable gesture shortcuts | Primary — with per-user calibration |
| Industrial operator-action recognition | Strong — gloved-hand gesture control |
| Accessibility / assistive devices | Strong — minimal motion discrimination |
Out-of-scope
- Not trained on real human-motion data. The public checkpoint uses synthetic gesture signatures. Production retraining on UCI HAR / MobiAct / a proprietary dataset is the next step.
- No per-user calibration. Deployable wearables typically train a small adaptation layer per user on first wear.
- Gesture vocabulary is illustrative, not exhaustive. Production deployments typically define their own vocabulary.
How to get started
Early Access or commercial — same path as the other HLM-Micro checkpoints.
License
BSL 1.1 (Apache 2.0 in 2030) once Early Access is granted.