Inhabitants Tracking System in a Cluttered Home Environment Via Floor Load Sensors

摘要: Home automation systems should evolve to the next phase in which they are aware of contexts, because providing services based on contexts will upgrade service quality, thus making people more comfortable and home living convenient. In particular, location is a piece important useful context information for seeking appropriate services, as well them home. So far, there have been several studies focused tracking inhabitants smart environments. However, these approaches often intrusive or require wear some sort devices, may make uncomfortable even inconvenient. This problem could devastate ultimate goal, provide convenient hence cause such somewhat controversial. this study, we utilize number load sensors together construct sensory floor exerted pressure can be detected cover its surface with wooden flooring normal environment. Although provides flat walk on, it also causes clutter sensor readings, lead difficulty clearly identifying location(s) source(s). Thus, apply probabilistic data association technique LeZi-Update approach analyze cluttered readings collected by so determine positions inhabitants, track their movements. With our nonintrusive approach, no need any solves cross-walking Note Practitioners-This system aims detecting multiple We adopt sensor, consists many blocks, each cell collect human body weight. These blocks covered conventional freely. After collecting data, mathematical techniques them, determining inhabitants' locations The limitation that cannot differentiate different persons if close weight natural cell.