Recognising Daily Functioning Activities in Smart Homes

This paper details an end-to-end system for recognising activity in smart homes for e-care. It discusses the hardware options to be considered when designing the smart home, and the particular decisions takes at the eWALL system. It then considers the necessary signal processing algorithms that turn...

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Bibliographic Details
Published inWireless personal communications Vol. 96; no. 3; pp. 3639 - 3654
Main Author Pnevmatikakis, Aristodemos
Format Journal Article
LanguageEnglish
Published New York Springer US 01.10.2017
Springer Nature B.V
Subjects
Activity recognition
Communications Engineering
Computer Communication Networks
Computer simulation
Engineering
Metadata
Networks
Signal processing
Signal,Image and Speech Processing
Smart buildings
Smart houses
Activity recognition
Context extraction
Home sensing
Smart home
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Summary:This paper details an end-to-end system for recognising activity in smart homes for e-care. It discusses the hardware options to be considered when designing the smart home, and the particular decisions takes at the eWALL system. It then considers the necessary signal processing algorithms that turn measurements into metadata describing the context of the care recipient. Since activity recognition implementation and testing need long-term measurements and metadata, a realistic simulator is also built for providing input to the activity recognition module. The activity recognition algorithm utilises two models, one for location estimation and another for activity estimation in the given location. They both give correct recognition for 96 and 94% of the time.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-017-4060-3