Edge Impulse Experts / fallBT
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
Worker fall detection with Bluetooth reporting to a central server
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 | 56 windows | |
| Spectral features training labels | NPY file | 56 windows | |
| Spectral features testing data | NPY file | 17 windows | |
| Spectral features testing labels | NPY file | 17 windows | |
| NN Classifier model | TensorFlow Lite (float32) | 5 KB | |
| NN Classifier model | TensorFlow Lite (int8 quantized) | 3 KB | |
| NN Classifier model | TensorFlow SavedModel | 11 KB | |
| NN Classifier model | Keras h5 model | 5 KB |
Clone project
Summary
Data collected
3m 14sProject info
| Project ID | 134539 |
| Project version | 1 |
| License | No license attached |
|
|
