Wing / boxing-moves Public

Wing / boxing-moves

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Accelerometer

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 0s

Project info

Project ID 89207
Project version 4
License No license attached