Edge Impulse Inc. / Tutorial - Syntiant TinyML Circular Motion
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
Detect clockwise circular motions using your Syntiant TinyML board. The Neural Network is trained on data from both gyroscope and accelerometer, sampled at 100 Hz.
Download block output
Title | Type | Size | |
---|---|---|---|
Syntiant IMU training data | NPY file | 4181 windows | |
Syntiant IMU training labels | NPY file | 4181 windows | |
Syntiant IMU testing data | NPY file | 687 windows | |
Syntiant IMU testing labels | NPY file | 687 windows | |
NN Classifier model | TensorFlow Lite (float32) | 2 MB | |
NN Classifier model | TensorFlow Lite (int8 quantized) | 404 KB | |
NN Classifier model | TensorFlow SavedModel | 1 MB | |
NN Classifier model | Keras h5 model | 1 MB |
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Summary
Data collected
5m 56sProject info
Project ID | 102981 |
Project version | 2 |
License | No license attached |