Detection of abnormal living patterns for elderly living alone using support vector data description

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 3, 2011, Pages 438-448

  Shin, Jae Hyuk ^a   Lee, Boreom ^b   Suk Park, Kwang ^a  

^a Seoul National University   (South Korea)

^b Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

Abnormal behavior pattern; daily activity monitoring; elderly healthcare; support vector data description (SVDD)

Indexed keywords

ABNORMAL BEHAVIOR; ACTIVITY LEVELS; BEHAVIOR ANALYSIS; BEHAVIOR PATTERNS; BEHAVIORAL PATTERNS; DAILY ACTIVITY MONITORING; ELDERLY HEALTHCARE; ELDERLY PEOPLE; GAUSSIAN KERNEL FUNCTIONS; HOME HEALTHCARE; INDEPENDENT LIVING; LIVING ALONE; LIVING PATTERN; MONITORING SYSTEM; MOTION SENSORS; MOTION SIGNALS; NORMAL BEHAVIOR; PATTERN DETECTION; POSITIVE PREDICTIVE VALUES; SCALE PARAMETER; SIMULATION DATA; SUPPORT VECTOR DATA DESCRIPTION; SUPPORT VECTOR DATA DESCRIPTION (SVDD);

DATA DESCRIPTION; HEALTH CARE; PATIENT MONITORING; SENSORS; VECTORS;

SIGNAL DETECTION;

AGE; AGED; ALGORITHM; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL INTELLIGENCE; DAILY LIFE ACTIVITY; FALLING; HUMAN; MALE; METHODOLOGY; MOVEMENT (PHYSIOLOGY); NORMAL DISTRIBUTION; REPRODUCIBILITY;

ACCIDENTAL FALLS; ACTIVITIES OF DAILY LIVING; AGE FACTORS; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; MALE; MONITORING, AMBULATORY; MOVEMENT; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS;

EID: 79955650504     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2113352     Document Type: Article

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