Edge Impulse Experts / Continuous Gait Monitor (anomaly detection)
A wearable for continuous gait analysis, aiming to detect gait abnormalities indicative of potential medical conditions.
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Download block output
| Title | Type | Size | |
|---|---|---|---|
| Spectral Analysis training data | NPY file | 127 windows | |
| Spectral Analysis training labels | NPY file | 127 windows | |
| Spectral Analysis testing data | NPY file | 29 windows | |
| Spectral Analysis testing labels | NPY file | 29 windows | |
| Classifier model | TensorFlow Lite (float32) | 19 KB | |
| Classifier model | TensorFlow Lite (int8 quantized) | 7 KB | |
| Classifier model | TensorFlow SavedModel | 24 KB | |
| Classifier model | Keras h5 model | 18 KB | |
| Classifier model | Model evaluation metrics (JSON file) | - | |
| Anomaly detection model | JSON | 7 KB |
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Summary
Data collected
13m 0sProject info
| Project ID | 366723 |
| License | Apache 2.0 |
