ravenwing/cheedeh-model
By ravenwing · ↓ 0 · ♥ 0 · Updated 2026-02-24
What's in this repo
This page lists the files in ravenwing/cheedeh-model, including gesture_classifier.onnx.
- 1 ONNX models (.onnx files)
- 5 files, including 1 .md, 1 .onnx, 1 .json
- Last updated 2026-02-24
ONNX files
| File | Size | Download |
|---|---|---|
| gesture_classifier.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
cheedeh-gesture-classifier
ONNX model for classifying phone air-gestures from accelerometer data. Designed for on-device inference on Android. Trained with scikit-learn (StandardScaler + SVM rbf), exported to ONNX.
Classes: z, m, s, o, none
Files
| File | Description |
|---|---|
gesture_classifier.onnx |
Inference model (StandardScaler + SVM, ONNX opset 15) |
label_map.json |
Maps output class index (0–4) to gesture name |
Model Details
| Property | Value |
|---|---|
| Architecture | StandardScaler + SVM (rbf, C=10, gamma=scale) |
| Input | 52 hand-crafted features from 3-axis accelerometer |
| Output | Class index (int64) + probabilities (float32[5]) |
| Test accuracy | 0.759 |
| Macro F1 | 0.793 |
| Training samples | ~372 |
| Test samples | ~54 |
Usage
Input tensor: float32[1, 52] — 52 features extracted from a 100-point resampled accelerometer gesture.
Output tensors: int64[1] (class index), float32[1, 5] (class probabilities).
For data collection and inference implementation see cheedeh-collect.
Input Sensor Requirements
- Sensor type:
TYPE_LINEAR_ACCELERATION(gravity-compensated, m/s²) - Sample rate: ~50 Hz (interpolated to exactly 100 points before feature extraction)
- Gesture duration: typically 0.5–3 seconds
The none class represents background / non-gesture motion.
Training
Trained on the cheedeh-IMU-data dataset collected with the cheedeh-collect Android app. Training pipeline at cheedeh-learn.
Class weights were balanced during training to handle imbalanced class distribution.
Model info
Created: 2026-02-23
Updated: 2026-02-24
View on Hugging FaceFiles (5)
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