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Agents and Dementia — Smart Risk Assessment

Steve Williams, Berndt Müller, Bertie Muller

Multi-Agent Systems and Agreement Technologies, Volume: 10207, Pages: 277 - 284

Swansea University Author: Bertie Muller

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DOI (Published version): 10.1007/978-3-319-59294-7_22

Abstract

This paper describes applied research in the development of mobile, wearable and other smart technology to assist people with mild to moderate symptoms of dementia. With safety and security paramount, the primary objective is to prolong independence of the person with symptoms and provide an element...

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Published in: Multi-Agent Systems and Agreement Technologies
ISBN: 978-3-319-59293-0 978-3-319-59294-7
ISSN: 0302-9743 1611-3349
Published: Valencia EUMAS 2016 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa50296
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first_indexed 2019-06-14T20:50:09Z
last_indexed 2019-06-14T20:50:09Z
id cronfa50296
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spelling 2019-06-14T12:50:14.1086058 v2 50296 2019-05-09 Agents and Dementia — Smart Risk Assessment a9373756f492363d8453ecf3b828b811 Bertie Muller Bertie Muller true false 2019-05-09 SCS This paper describes applied research in the development of mobile, wearable and other smart technology to assist people with mild to moderate symptoms of dementia. With safety and security paramount, the primary objective is to prolong independence of the person with symptoms and provide an element of relief to families from what can become a full-time burden of care. Intelligent agents recognise activity in its context, assess risk and subsequently act to recover persons who wander or become lost. Results indicate that constant activity monitoring without ethically controversial tracking is possible without the necessity of invading privacy. Conference Paper/Proceeding/Abstract Multi-Agent Systems and Agreement Technologies 10207 277 284 EUMAS 2016 Valencia 978-3-319-59293-0 978-3-319-59294-7 0302-9743 1611-3349 23 6 2017 2017-06-23 10.1007/978-3-319-59294-7_22 https://link.springer.com/chapter/10.1007/978-3-319-59294-7_22 Lecture Notes in Computer Science COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2019-06-14T12:50:14.1086058 2019-05-09T11:28:39.1510686 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Steve Williams 1 Berndt Müller 2 Bertie Muller 3
title Agents and Dementia — Smart Risk Assessment
spellingShingle Agents and Dementia — Smart Risk Assessment
Bertie Muller
title_short Agents and Dementia — Smart Risk Assessment
title_full Agents and Dementia — Smart Risk Assessment
title_fullStr Agents and Dementia — Smart Risk Assessment
title_full_unstemmed Agents and Dementia — Smart Risk Assessment
title_sort Agents and Dementia — Smart Risk Assessment
author_id_str_mv a9373756f492363d8453ecf3b828b811
author_id_fullname_str_mv a9373756f492363d8453ecf3b828b811_***_Bertie Muller
author Bertie Muller
author2 Steve Williams
Berndt Müller
Bertie Muller
format Conference Paper/Proceeding/Abstract
container_title Multi-Agent Systems and Agreement Technologies
container_volume 10207
container_start_page 277
publishDate 2017
institution Swansea University
isbn 978-3-319-59293-0
978-3-319-59294-7
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-319-59294-7_22
publisher EUMAS 2016
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://link.springer.com/chapter/10.1007/978-3-319-59294-7_22
document_store_str 0
active_str 0
description This paper describes applied research in the development of mobile, wearable and other smart technology to assist people with mild to moderate symptoms of dementia. With safety and security paramount, the primary objective is to prolong independence of the person with symptoms and provide an element of relief to families from what can become a full-time burden of care. Intelligent agents recognise activity in its context, assess risk and subsequently act to recover persons who wander or become lost. Results indicate that constant activity monitoring without ethically controversial tracking is possible without the necessity of invading privacy.
published_date 2017-06-23T04:01:42Z
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score 11.013148

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