상황
A team building a wearable fall detection model needs to expand a small labeled sensor dataset. This flowchart shows how raw accelerometer windows are labeled and augmented by rotation and scaling before model training.
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01
Using 3D rotation to simulate device orientation changes
02
Using magnitude scaling to simulate varying intensity
03
Merging fall and non-fall augmented copies into one balanced dataset
Reusable when designing synthetic data pipelines for inertial sensor classification, especially when collecting real fall events is expensive or risky.