Impulse #1
An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
Spectral Analysis
Classification
3 (falling, idle, walking)
3 (falling, idle, walking)
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Anomaly Detection (K-means)
1 (Anomaly score)
1 (Anomaly score)
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Output features
4 (falling, idle, walking, Anomaly score)
4 (falling, idle, walking, Anomaly score)
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No data collected yet
You'll need some training data to design your first impulse.
