Agents and Dementia: Smart Risk Assessment

Berndt Muller, Steve Williams

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Abstract

This paper describes an early stage of applied research primar- ily concerned with 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. In- telligent agents recognise activity, its context, risk and subsequently, in the worst case act to recover persons who wander or become lost. Initial results indicate that constant activity monitoring without ethically con- troversial tracking is possible without the necessity of invading privacy. The small-scale participatory study will incorporate real-world needs of a recruited user group into the design of a research prototype.
Original languageEnglish
Title of host publication14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers
EditorsNatalia Criado Pacheco, Carlos Carrascosa, Nadine Osman, Vicente Julián Inglada
PublisherSpringer
Pages277-284
ISBN (Electronic)978-3-319-59294-7
ISBN (Print)978-3-319-59293-0
DOIs
Publication statusE-pub ahead of print - 23 Jun 2017
Event14TH EUROPEAN CONFERENCE ON MULTI-AGENT SYSTEMS - UNIVERSIDAD POLITECNICA DE VALENCIA, Valencia, Spain
Duration: 15 Dec 201616 Dec 2016
http://eumas-at2016.webs.upv.es/EUMAS2016.html

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume10207
ISSN (Print)0302-9743

Conference

Conference14TH EUROPEAN CONFERENCE ON MULTI-AGENT SYSTEMS
Abbreviated titleEUMAS 2016
Country/TerritorySpain
CityValencia
Period15/12/1616/12/16
Internet address

Keywords

  • Dementia
  • Assistive technology
  • Activity recognition
  • Multiple agents
  • Ambient Healthcare
  • Ambient Assistive Living
  • Multi agent systems
  • neurodegenerative diseases
  • risk assessment
  • Wearable technology

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