An approach for detecting deviations in daily routine for long-term behavior analysis

2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

Volumn , Issue , 2011, Pages 426-433

  Elbert, Denis ^a   Storf, Holger ^b   Eisenbarth, Michael ^b   Unalan, Ozgur ^b   Schmitt, Mario ^b  

^a MANNHEIM UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b FRAUNHOFER IESE   (Germany)

Author keywords

Ambient Assisted Living; Behavior Monitoring; Circadian Rhythm

Indexed keywords

ACTIVITIES OF DAILY LIVING; AMBIENT ASSISTED LIVING; BEHAVIOR MONITORING; CIRCADIAN RHYTHMS; DETECTING DEVIATIONS; DIAGNOSIS SUPPORT; LONG-TERM BEHAVIOR; LONG-TERM BEHAVIOR ANALYSIS; MILD DEMENTIA; PROBABILISTIC MODELS; SITUATION-AWARE;

HEALTH CARE; NEURODEGENERATIVE DISEASES; REGRESSION ANALYSIS;

UBIQUITOUS COMPUTING;

EID: 80054878713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2011.246089     Document Type: Conference Paper

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