Gesture Recognition
Same chip (ndp120_b0) and architecture options as Audio Classification. Architecture selection depends on the complexity of the gestures and sensor input.
Chip and Architecture
Same chip (ndp120_b0) and architecture options as Audio Classification. Architecture selection depends on the complexity of the gestures and sensor input.
Time-Series Feature Configuration — User Inputs
| Parameter | Description |
|---|---|
| Input Matrix (Features) | Values per frame — typically equals sensor channels or derived features per time step |
| Input Matrix (Num Frames) | Number of time frames stacked along the time axis |
| Window Duration (T) | Total observation window duration in seconds |
| Channels | Number of independent sensor channels (e.g. 6 for 3-axis accel + 3-axis gyro) |
| Window Step (Hop Size) | Samples to advance between successive windows |
| Window Length (Samples) | Raw samples in each individual short-time window |
Example Parameters — 6-Channel IMU (ndp120_b0)
| Parameter | Value |
|---|---|
| Input Matrix (Features) | 36 |
| Input Matrix (Num Frames) | 40 |
| Window Duration (T) | 2.40 s |
| Channels | 6 |
| Window Step (Hop Size) | 6 |
| Num Samples to NN (N, calculated) | 1440 |
| Calculated Sampling Rate | 100.00 |
NOTE
For 6-DoF IMU gesture recognition, a 2.4 s window at 100 Hz is a robust starting point. Adjust Window Duration and Channels to match your sensor hardware.
Label Selection
| Field | Description |
|---|---|
| Target Gestures | Gestures the model should detect — each is an individual class |
| Open-set Words | Non-target inputs merged into one class |
| Number of Classes | Auto-calculated: target gestures + 1 — read-only |