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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 2/2014

01-04-2014 | Original Article

Adaptive probability scheme for behaviour monitoring of the elderly using a specialised ambient device

Authors: Jonathan Winkley, Ping Jiang

Published in: International Journal of Machine Learning and Cybernetics | Issue 2/2014

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Abstract

A Hidden Markov Model (HMM) modified to work in combination with a Fuzzy System is utilised to determine the current behavioural state of the user from information obtained with specialised hardware. Due to the high dimensionality and not-linearly separable nature of the Fuzzy System and the sensor data obtained with the hardware which informs the state decision, a new method is devised to update the HMM and replace the initial Fuzzy System such that subsequent state decisions are based on the most recent information. The resultant system first reduces the dimensionality of the original information by using a manifold representation in the high dimension which is unfolded in the lower dimension. The data is then linearly separable in the lower dimension where a simple linear classifier, such as the perceptron used here, is applied to determine the probability of the observations belonging to a state. Experiments using the new system verify its applicability in a real scenario.
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Metadata
Title
Adaptive probability scheme for behaviour monitoring of the elderly using a specialised ambient device
Authors
Jonathan Winkley
Ping Jiang
Publication date
01-04-2014
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 2/2014
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0134-4

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