Learning Models of Human Behaviour with
Sequential Patterns
Valerie Guralnik and Karen Zita Haigh
Honeywell Technology Center,
3660 Technology Drive,
Minneapolis, MN 55418
In the AAAI 2002 Workshop ``Automation as Caregiver"
The Independent Lifestyle Assistant (I.L.S.A.) is an agent-based system to aid
elderly people to live longer in their homes. One of the biggest challenges for I.L.S.A. is that every installation will (1) be in a home with a different layout and suite of sensor and actuator capabilities, and (2) supporting a technophobic client with unique capabilities, needs and care-giving support network. I.L.S.A. therefore must be able to adapt to its environment over time. This paper describes our approach to modelling one particular aspect of the I.L.S.A. domain: using sequential pattern learning to learn models of human behaviour.
We describe the problem, our enhancements to the basic algorithm, and present
experimental results collected from four test sites
@inproceedings{Guralnik:02AAAIws,
author="Valerie Guralnik and Karen Zita Haigh",
title="Learning Models of Human Behaviour with Sequential Patterns",
note="AAAI Technical Report WS-02-02",
booktitle="Proceedings of the AAAI-02 workshop ``Automation as Caregiver''",
year=2002,pages="24-30"}
A copy of the entire proceedings, and other AAAI publications can be found at AAAI Press.