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 language | English |
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Title of host publication | 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers |
Editors | Natalia Criado Pacheco, Carlos Carrascosa, Nadine Osman, Vicente Julián Inglada |
Publisher | Springer |
Pages | 277-284 |
ISBN (Electronic) | 978-3-319-59294-7 |
ISBN (Print) | 978-3-319-59293-0 |
DOIs | |
Publication status | E-pub ahead of print - 23 Jun 2017 |
Event | 14TH EUROPEAN CONFERENCE ON MULTI-AGENT SYSTEMS - UNIVERSIDAD POLITECNICA DE VALENCIA, Valencia, Spain Duration: 15 Dec 2016 → 16 Dec 2016 http://eumas-at2016.webs.upv.es/EUMAS2016.html |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 10207 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 14TH EUROPEAN CONFERENCE ON MULTI-AGENT SYSTEMS |
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Abbreviated title | EUMAS 2016 |
Country/Territory | Spain |
City | Valencia |
Period | 15/12/16 → 16/12/16 |
Internet address |
Keywords
- Dementia
- Assistive technology
- Activity recognition
- Multiple agents
- Ambient Healthcare
- Ambient Assistive Living
- Multi agent systems
- neurodegenerative diseases
- risk assessment
- Wearable technology