Achieving Model Completeness for Hierarchally Structured Activities of Daily Life

Being able to recognise everyday activities of daily life provides the opportunity of tracking functional
decline among elderly people who suffer from Alzheimer’s disease. This paper describes an approach that
has been developed for recognising activities of daily life based on a hierarchal structure of plans. While it
is logical to envisage that the most common activities will be modelled within a library of plans, it can be
impossible to imagine that the library contains plans for every possible hierarchal activity. In order to
generalise the activity recognition capability outside the framework of the core activities constructed to
support recognition, decision trees are constructed using a well - known induction algorithm during a train
period. The motivation of this work is to allow people with Alzheimer’s disease to have additional years of
independent living before the disease reaches a stage where it becomes incurable.

Citation:
U. Naeem, A. Tawil, R. Bashroush and A. Al-Nemrat, “Achieving Model Completeness for Hierarchally Structured Activities of Daily Life”, in proceedings of the 2nd International Conference on Pervasive and Embedded Computing and Communication Systems PECCS 2012, Rome, Italy, February 2012..