An enhanced behaviour recognition system for remote supervision of vulnerable individuals

The use of technology to remotely supervise vulnerable individuals is wide-ranging. The type of remote supervision that inspired the research in this paper is position monitoring (also referred to as tracking); this is a technique commonly proposed for the remote supervision of children. Current, commercially-available systems depend upon the explicit configuration of parameters such as a coordinate-based range of permissible motion; this is inflexible and takes no account of other information that could affect one's interpretation of the results. This paper presents an approach that can incorporate data from multiple sources, one of which is a position sensor. The use of fuzzy logic builds flexibility into the system. The output of the system is mapped to a graduated scale that can be presented in various ways, depending on the needs of the