Activity Recognition using a Hierarchical Framework

Usman Naeem; John Bigham

1st International ICST Workshop on Ambient Technologies for Diagnosing and Monitoring Chronic Patients

Research Article

Activity Recognition using a Hierarchical Framework

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@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2742  ,
    author={Usman Naeem and John Bigham},
    title={Activity Recognition using a Hierarchical Framework},
    proceedings={1st International ICST Workshop on Ambient Technologies for Diagnosing and Monitoring Chronic Patients},
    publisher={IEEE},
    proceedings_a={ATDMCP},
    year={2008},
    month={7},
    keywords={Alzheimer’s Disease Activities of Daily Life Episode Recovery Task Identification},
    doi={10.4108/ICST.PERVASIVEHEALTH2008.2742  }
}

Usman Naeem
John Bigham
Year: 2008
Activity Recognition using a Hierarchical Framework
ATDMCP
IEEE
DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2742

Usman Naeem¹^,*, John Bigham¹^,*

1: Department of Electronic Engineering, Queen Mary University of London, London, United Kingdom.

*Contact email: usman.naeem@elec.qmul.ac.uk, john.bigham@elec.qmul.ac.uk

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 Alzheimerpsilas disease to have additional years of independent living before the Alzheimerpsilas disease reaches the moderate and severe stages.

Keywords: Alzheimer’s Disease Activities of Daily Life Episode Recovery Task Identification

Published: 2008-07-22
Publisher: IEEE
Modified: 2011-07-13

: http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2008.2742