“…The recent explosion of ambient sensors (e.g., motion capture sensors, force mats), smart phones, and wearable sensor systems (e.g., inertial measurement units, IMUs) have facilitated the emergence of new techniques to monitor gait and balance control in natural environments and during everyday activities [8,22,29]. Embedded into living environments, ambient third-person video (TPV) and depth cameras (e.g., Microsoft Kinect) have been investigated as means to extract gait parameters [14,10], detect episodes of freezing of gait in Parkinson's disease [5], detect falls, and longitudinal changes in the patient's mobility patterns [4,36,3]. While TPV systems have demonstrated potential to detect small changes over long periods (i.e., months to years), these approaches suffer from visual occlusions (e.g., furniture), difficulty handling multiple residents, and extraction of spatiotemporal parameters when the full-body view is unavailable.…”