Ambient monitoring of gait and machine learning models for dynamic and short-term falls risk assessment in people with dementia
Data augmentation to address various rotation errors of wearable sensors for robust pre-impact fall detection
Estimation of circular statistics in the presence of measurement bias
Real-time ground reaction force and knee extension moment estimation during drop landings via modular LSTM modeling and wearable IMUs