Wing / boxing-moves
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
This project will collect boxing moves (jab, cross, hook and uppercut) and subsequently train a model for motion recognition.
Creating your first impulse (100% complete)
Acquire data
Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.
Design an impulse
Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.
Deploy
Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Spectral features training data | NPY file | 7070 windows | |
| Spectral features training labels | NPY file | 7070 windows | |
| Spectral features testing data | NPY file | 505 windows | |
| Spectral features testing labels | NPY file | 505 windows | |
| NN Classifier model | TensorFlow Lite (float32) | 7 KB | |
| NN Classifier model | TensorFlow Lite (int8 quantized) | 4 KB | |
| NN Classifier model | TensorFlow SavedModel | 21 KB | |
| NN Classifier model | Keras h5 model | 7 KB |
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Summary
Data collected
25m 0sProject info
| Project ID | 89207 |
| Project version | 4 |
| License | No license attached |
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