Luke Berndt / smelly-coat
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
Smelly Coat
Use an Arduino Nicla Sense ME to see if you need to freshen up after a workout
This project is part of the K-Way + Arduino partnership to develop a Smarter coat. These are two iconic Italian brands! Our project pitch was to build a smart sensor that would let you know if you got a little stinky after a workout and should take a shower. All of this would be powered using sensors and an ML model, developed in the Edge impulse studio.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Flatten training data | NPY file | 4995 windows | |
| Flatten training labels | NPY file | 4995 windows | |
| Classifier model | TensorFlow Lite (float32) | 2 KB | |
| Classifier model | TensorFlow Lite (int8 quantized) | 2 KB | |
| Classifier model | TensorFlow SavedModel | 8 KB | |
| Classifier model | Keras h5 model | 2 KB | |
| Anomaly detection model | JSON | 7 KB |
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Summary
Data collected
41m 44sProject info
| Project ID | 184007 |
| Project version | 2 |
| License | Apache 2.0 |
