Research output

Chapter (in Edited Book) ()

Personalised Ambient Monitoring: Supporting Mental Health at Home

Citation
Magill E & Blum JM (2012) Personalised Ambient Monitoring: Supporting Mental Health at Home. In: Turner KJ (ed.). Advances in Home Care Technologies - Results of the MATCH Project. Assistive Technology Research Series, 31, Amsterdam: IOS Press, pp. 67-85.

Abstract
Many who suffer from Bipolar Disorder are keen to control their disease with as little external medical intervention as possible. Self help through websites, meetings, and questionnaires are commonly employed approaches. The PAM project has worked to help this process. It has endeavoured to form an ambient system of monitoring to provide objective feedback to bipolar sufferers. Particular effort has been made to allow the system network of sensors to be personalised and ambient, and operate without the need for a centralised resource. So a sensor system that embeds the processing of the sensor data has been developed. It allows the processing to be changed at run-time to allow personalisation and for changes in behaviour over time. This chapter describes the current status of the project; in particular it describes the rule-based system that the project developed, and an initial technical trial and its outcomes. The rule-based approach and the trial description should be of general interest to both technical developers and practitioners. The latter part of the chapter however is aimed more at the technical developer and focuses on the technical outcomes from the trial with a focus on the programmability aspects and addresses consistency issues that arise with such a flexible programming environment.

Keywords
Rule-based systems; run-time programming; personalisation

StatusPublished
EditorTurner KJ
AuthorsMagill Evan, Blum Jesse Michael
Title of seriesAssistive Technology Research Series
Number in series31
Publication date10/2012
URLhttp://www.booksonline.iospress.nl/….aspx?piid=32462
PublisherIOS Press
Place of publicationAmsterdam
ISSN of series 1383-813X
ISBN 978-1-61499-126-7
eISBN 978-1-61499-126-4
LanguageEnglish
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