Phase-Aware Spatio-Temporal Deep Learning for Contextual Fall Detection in Geriatric Environments
In open living spaces, traditional vision-based fall detection architectures have been found to have high False-Alarm Rates (FAR) because they cannot differentiate between real falls and high velocity Activities of Daily Living (ADLs) with similar footprints of deformation in space. This paper proposes the basic subsys...