Indoor spatial positioning: Mining and prediction

Indoor spatial positioning refers to people's spatial behaviour in terms of the places that they visit in an indoor environment. Understanding indoor spatial positioning has many benefits for a wide range of applications including monitoring the health of elderly people in nursing homes, exercise science, warehouse management systems, tracking shoppers in retail situations, and general understanding of movement flow. In this thesis, we investigate software that monitors and mines spatial positioning behaviours by analysing historical movement data.