Human SLAM, Indoor localization using particle filters
A key problem (or challenge) within smart spaces is indoor localization: making estimates of users’ whereabouts. Without such information, systems are unable to react on the presence of users or, sometimes even more important, their absence. This can range from simply turning the lights on when someone enters a room to customizing the way devices interact with a specific user. Even more important for a system to know where users exactly are, is to know where users are relative to the devices it can control or use to sense the environment....