Classifying human physical activities such as walking, running, sitting, cycling, and climbing stairs from wearable IMU data. Uses time-series classification on sliding windows of accelerometer and gyroscope readings. Core technology for fitness trackers, health monitoring wearables, and rehabilitation devices. Models are typically small CNNs or dense networks trained on labeled activity datasets like UCI HAR.
| Minimum RAM | 64 KB |
| Minimum Flash | 512 KB |
| Sensor Inputs | imu |
| Typical Model Size | 25 KB (quantized int8) |
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