A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 6, 2012, Pages 1274-1286

  Yu, Miao ^a   Rhuma, Adel ^a   Naqvi, Syed Mohsen ^a   Wang, Liang ^b   Chambers, Jonathon ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

Assistive living; directed acyclic graph support vector machine (DAGSVM) system integration; fall detection; health care; multiclass classification

Indexed keywords

ASSISTIVE LIVING; BACKGROUND SUBTRACTION; DATA SETS; DIRECTED ACYCLIC GRAPH SUPPORT VECTOR MACHINES; ELLIPSE FITTING; FALL DETECTION; FALSE DETECTIONS; HOME CARE; HOME ENVIRONMENT; HUMAN BODIES; MULTI-CLASS CLASSIFICATION; POSTURE CLASSIFICATION; PROJECTION HISTOGRAMS; SMART HOMES; SYSTEM INTEGRATION; VISION BASED;

AUTOMATION; COMPUTER VISION; DISTRIBUTED COMPUTER SYSTEMS; GRAPH THEORY; HEALTH CARE; SUPPORT VECTOR MACHINES;

INTELLIGENT BUILDINGS;

AGE; AGED; AMBULATORY MONITORING; BODY POSTURE; FALLING; FEMALE; HUMAN; IMAGE PROCESSING; MALE; PHYSIOLOGY; PROCEDURES; SUPPORT VECTOR MACHINE; ARTICLE; METHODOLOGY;

ACCIDENTAL FALLS; AGE FACTORS; AGED; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MONITORING, AMBULATORY; POSTURE; SUPPORT VECTOR MACHINES;

EID: 84870913034     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2214786     Document Type: Article

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