Learning Setting-Generalized Activity Models for Smart Spaces

Diane J Cook

doi:10.1109/MIS.2010.112

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Learning Setting-Generalized Activity Models for Smart Spaces

Journal article

Open access

Peer reviewed

Learning Setting-Generalized Activity Models for Smart Spaces

Diane J Cook

IEEE intelligent systems, Vol.27(1), pp.32-38

01/2012

DOI: https://doi.org/10.1109/MIS.2010.112

Handle:

https://hdl.handle.net/2376/108001

PMCID: PMC3068197

PMID: 21461133

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Abstract

Hidden Markov models

Smart homes

Machine learning

Ubiquitous computing

pervasive computing

Intelligent systems

Intelligent sensors

activity recognition

Smart home activity recognition systems can learn generalized models for common activities that span multiple environment settings and resident types.

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Details

Title: Learning Setting-Generalized Activity Models for Smart Spaces
Creators: Diane J Cook - Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Publication Details: IEEE intelligent systems, Vol.27(1), pp.32-38
Academic Unit: Electrical Engineering and Computer Science, School of
Publisher: IEEE
Identifiers: 99900547004201842
Language: English
Resource Type: Journal article