A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment

Conference paper

Naeem, U. and Bigham, John 2007. A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment. Proceedings of the 2nd International Conference on Pervasive Computing and Applications, Birmingham, UK, 2007, pp. 383-388
AuthorsNaeem, U. and Bigham, John
TypeConference paper
Abstract

In today’s working world the elderly are often
classified as a set of dependent people and are
sometimes neglected by society. One of the ways to
determine whether an elderly person is safe in their
home is to find out what activities an elderly person is
carrying out and give appropriate assistance or
institute safeguards. This paper describes the lower tier
of a two tiered approach that is being adopted. The
higher tier consists of hierarchical sets of plans that
model common goals and sub-goals associated with
activities in daily life. The lower tier deals with
recognition of tasks from the stream of sensor events.
Tasks are the lowest level component of a plan. The
tasks are modelled using a form of hidden Markov
modelling.

KeywordsEpisode Recovery; Activities of Daily Life; Elderly Care; Smart Homes
Year2007
ConferenceProceedings of the 2nd International Conference on Pervasive Computing and Applications, Birmingham, UK, 2007, pp
Accepted author manuscript
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CC BY-ND
Publication dates
PrintJul 2007
Publication process dates
Deposited25 Jun 2010
Web address (URL)http://dx.doi.org/10.1109/ICPCA.2007.4365473
http://hdl.handle.net/10552/806
Additional information

Citation:
Naeem, U. and Bigham, J. (2007) “A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment” in Proceedings of the 2nd International Conference on Pervasive Computing and Applications, Birmingham, UK, 2007, pp. 383-388..

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