Assistive Technology to Support the Mobility of Senior Citizens





Professorship/Faculty: Cultural Informatics  ; Cognitive Systems  
Author(s): Schlieder, Christoph  ; Schmid, Ute  ; Munz, Michael; Stein, Klaus  
By: Christoph, Schlieder 
Title of the Journal: Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen
ISSN: 0933-1875
Corporate Body: Fachbereich 1 der Gesellschaft für Informatik
Publisher Information: Berlin [u.a.] : Springer
Year of publication: 2013
Volume: 27
Issue: 3
Pages: 247-253 ; Illustrationen
Language(s): English
DOI: 10.1007/s13218-013-0254-3
URL: http://link.springer.com/article/10.1007/s13218...
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.
Document Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/2110
Year of publication: 26. September 2013