Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection

Abstract

Data augmentation had notable capacities to address sensor rotation errors for practical applications and augmented models especially the normal model showed good potential to be embedded in a wearable system for robust pre-impact fall detection and injury prevention.