A cascaded fusion and style-augmented decomposition model for wearable multi-sensor activity recognition outperforms attention-based baselines in accuracy and macro-F1 while cutting computation by over 30% on Realdisp and Skoda datasets.
A survey on human activity recognition using wearable sensors.IEEE communications surveys & tutorials, 15(3):1192–1209
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Lightweight and Generalizable Multi-Sensor Human Activity Recognition via Cascaded Fusion and Style-Augmented Decomposition
A cascaded fusion and style-augmented decomposition model for wearable multi-sensor activity recognition outperforms attention-based baselines in accuracy and macro-F1 while cutting computation by over 30% on Realdisp and Skoda datasets.