Fall Detection Data Augmentation Pipeline

シナリオ

A fall detection dataset from wearable accelerometers has too few fall samples; the pipeline assesses imbalance and applies data augmentation before training.

この図に含まれるもの

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Apply augmentation only when class distribution is imbalanced

Validate synthetic sample quality and refine parameters if poor

Merge augmented data with real data and reassess balance

Reusable for time-series classification tasks with imbalanced classes, especially wearable sensor data.

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Wearable Accelerometer Data Augmentation Pipeline

図の背後にある意思決定を読み解く。