Activity Recognition using a Hierarchical Framework

Conference paper

Naeem, U. and Bigham, John 2008. Activity Recognition using a Hierarchical Framework. Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Tampere, Finland, 2008, IEEE pp. 24-27
AuthorsNaeem, U. and Bigham, John
TypeConference paper
Abstract

This paper describes an approach for modelling and
detecting activities of daily life based on a hierarchy of plans that
contain a range of precedence relationships, representations of
concurrency and other temporal relationships. Identification of
activities of daily life is achieved by episode recovery models
supported by using relationships expressed in the plans. The
motivation is to allow people with Alzheimer’s disease to have
additional years of independent living before the Alzheimer’s
disease reaches the moderate and severe stages.

KeywordsAlzheimer’s Disease; Activities of Daily Life; Episode Recovery; Task Identification
Year2008
ConferenceProceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Tampere, Finland, 2008, IEEE pp
Accepted author manuscript
License
CC BY-ND
Publication dates
PrintFeb 2008
Publication process dates
Deposited29 Apr 2010
Web address (URL)http://dx.doi.org/10.1109/PCTHEALTH.2008.4571018
http://hdl.handle.net/10552/774
Additional information

Citation:
Naeem, U; Bigham J. (2008) “Activity Recognition using a Hierarchical Framework” in Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Tampere, Finland, 2008, IEEE pp. 24-27..

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License: CC BY-ND

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