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Assistive Technology to Support the Mobility of Senior Citizens
Schlieder, Christoph; Schmid, Ute; Munz, Michael; u. a. (2013): Assistive Technology to Support the Mobility of Senior Citizens, in: Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen, Berlin [u.a.]: Springer, Jg. 27, Nr. 3, S. 247–253, doi: 10.1007/s13218-013-0254-3.
Faculty/Chair:
Author:
Title of the Journal:
Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen
ISSN:
0933-1875
Corporate Body:
Fachbereich 1 der Gesellschaft für Informatik
Publisher Information:
Year of publication:
2013
Volume:
27
Issue:
3
Pages:
Language:
English
Abstract:
Maintaining mobility despite the bodily, mental, or monetary challenges which often come along with advanced age is a relevant aspect of the quality of live. The collaborative research project EMN-Moves provides assistive technology for initiating and coordinating mobility support in residential districts. Mobility support is seen as a social task involving the interplay of housing societies, social organisations and residents of different age groups—with and without special needs. The project focuses on two aspects: (1) a Geo-Wiki for documenting temporary mobility barriers and for generating proposals for alternative routes, (2) a matchmaking service for bringing together (elderly) people who need support with volunteers.
Type:
Article
Activation date:
September 26, 2013
Permalink
https://fis.uni-bamberg.de/handle/uniba/2110