Intelligent Processing Systems for Zero-Effort Health Smart Homes

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Physiological parameters as well as daily activity patterns are essential metrics when monitoring health and well-being of health smart home (HSH) occupants such as elderly people. The aim of HSH is not only to reduce pressure on the health system but also to provide timely e-health services to individuals wishing to live in their own homes and maintain their independence. Zero-effort HSH, which is a type of HSH, aims to realize the HSH goals such that neither active interaction or compliance from the user is required, and the user doesn't need to wear any sensor or device. In fact, in Z-HSH, technology is embedded into the common household items and doesn't interfere with the daily activities of the smart home occupants. This research program will develop Z-HSH's intelligent systems required for unobtrusive physiological parameters estimation and daily activity recognition, incorporating advanced machine learning techniques. Essential physiological parameters, including beat-to-beat systolic and diastolic blood pressures, heart rate, heart beat location and blood oxygen saturation, will be estimated through an intelligent combination of raw physiological data recorded by a zero-effort smart home-based package (Z-SHP), during the common daily activity sitting and watching TV. The Z-SHP consists of a smart chair, a smart tile and two fixed location RGB cameras that unobtrusively measure electrocardiogram, photoplethysmogram, ballistocardiogram and face and hand videos of the user while he/she is sitting on the smart chair, in front of the cameras (watching TV), with his/her feet placed on the smart tile. The intelligent system for daily activity recognition will be based on an activity segmentation framework as well as a multi-task learning framework that stitches human pose, attention control and daily activity recognition in the benefit of the latter one. This research program will impact on self-management, quality of life, and health outcomes of smart home occupants who would like to go about their usual daily routines within their own homes, with the required measurements being automatically collected (and delivered to the appropriate stakeholders such as caregivers and health centers) as they interact with common everyday objects. So it will impact the key clinical outcomes, such as a reduction in (re)-admission rates, hence offering improvements to the Canadian economy as a whole.