An ambient approach to emergency detection based on location tracking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6719 LNCS, Issue , 2011, Pages 296-302

  Floeck, Martin ^a   Litz, Lothar ^a   Rodner, Thorsten ^a  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

Author keywords

Activity Monitoring; Ambient Assisted Living; Ambient Intelligence; Assistive Technology; Location Tracking

Indexed keywords

ACTIVITY MONITORING; AMBIENT ASSISTED LIVING; AMBIENT INTELLIGENCE; ASSISTIVE TECHNOLOGY; EMERGENCY DETECTION; GERMANY; HOME AUTOMATION; RAW SENSOR; TEMPORAL INFORMATION; TIME SPENT; AMBIENT ASSISTED LIVING (AAL);

HANDICAPPED PERSONS; INFORMATION USE; SENSORS; ASSISTED LIVING; AUTOMATION; INTELLIGENT BUILDINGS; LOCATION; TRACKING (POSITION); WIRELESS TELECOMMUNICATION SYSTEMS;

TARGET TRACKING; AMBIENT INTELLIGENCE;

EID: 79959583196     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21535-3_45     Document Type: Conference Paper

References (6)

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3. Floeck, M., Litz, L.: Activity- and Inactivity-Based Approaches to Analyze an Assisted Living Environment. In: Proc. of the Second International Conference on Emerging Security Information, Systems and Technologies 2008, Cap Esterel, France, pp. 311-316 (2008)
4. UK Dept of Health R&D publications: Research and development work relating to assistive technology 2009-2010, http://www.dh.gov.uk/prod-consum-dh/ groups/dh-digitalassets/dh/en/ps/documents/digitalasset/dh-122348.pdf (retrieved January 19, 2011)
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