Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection
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DOI: 10.1109/jbhi.2022.3228598
Abstract: Objective: This paper proposes a novel application of data augmentation to address various rotation errors of wearable sensors for robust pre-impact fall detection. In such systems, sensor rotation errors are inevitable because of loose attachment… read more here.
Keywords: data augmentation; rotation; model; rotation errors ... See more keywords