Sensor-based abnormal human-activity detection

IEEE Transactions on Knowledge and Data Engineering

Volumn 20, Issue 8, 2008, Pages 1082-1090

  Yin, Jie ^b   Yang, Qiang ^a,c   Pan, Jeffrey Junfeng ^c  

^a IEEE

^b CSIRO   (Australia)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Activity recognition; Data mining; Outlier detection; Sensor networks

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ALARM SYSTEMS; ARTIFICIAL INTELLIGENCE; BIONICS; DECISION SUPPORT SYSTEMS; DETECTORS; FOOD PROCESSING; HEALTH; INFORMATION MANAGEMENT; KNOWLEDGE MANAGEMENT; MINING; SEARCH ENGINES; SENSORS; SUPPORT VECTOR MACHINES; TURBULENT FLOW; UBIQUITOUS COMPUTING;

ABNORMAL EVENTS; ABNORMALITY DETECTION; ACTIVITY MODELS; ACTIVITY RECOGNITION; APPLIED (CO); DATA MINING METHODS; FALSE ALARM RATE (FAR); FALSE POSITIVE RATE (FPR); GENERAL (CO); HEALTH CARE APPLICATIONS; HIGH PROBABILITY; HUMAN BODIES; HUMAN-ACTIVITY DETECTION; NONLINEAR REGRESSION (NLR); ONE CLASS SUPPORT VECTOR MACHINES; REAL DATA; SECURITY MONITORING; SENSOR DATA; TRAINING DATA; WIRELESS SENSORS;

SENSOR NETWORKS;

EID: 46649115341     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2007.1042     Document Type: Conference Paper

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