David Kostolani

Broken time, stable models? Evaluating desynchronization robustness in wearable human activity recognition

This work introduces an experimental paradigm for systematically evaluating the impact of time discrepancies in multi-wearable HAR, and reveals that time offsets larger than 167 ms should be avoided in training datasets, and offsets beyond 333 ms can already significantly degrade HAR performance for typical activities...