Eigenspace-based fall detection and activity recognition from motion templates and machine learning

Expert Systems with Applications

Volumn 39, Issue 5, 2012, Pages 5935-5945

  Olivieri, David Nicholas ^a   Gómez Conde, Iván ^a   Vila Sobrino, Xosé Antón ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

Eigenspace classification; Human fall detection; Human motion analysis; PCA

Indexed keywords

ACTIVITY RECOGNITION; AUTOMATIC RECOGNITION; CANONICAL TRANSFORMATION; DENSE OPTICAL FLOW; DETECTION SYSTEM; EIGENSPACES; ENABLING TECHNOLOGIES; FALL DETECTION; HEALTH-CARE SYSTEM; HUMAN ACTIONS; HUMAN ACTIVITIES; HUMAN FALL DETECTION; HUMAN MOTION ANALYSIS; IMAGE SEQUENCE; MOTION REPRESENTATION; MOTION VECTORS; PCA; REAL TIME PERFORMANCE; SENSOR BASED SYSTEMS; SOFTWARE-BASED; SPATIO-TEMPORAL; VELOCITY INFORMATION; VIDEO DATABASE; VIDEO SEQUENCES;

COMPUTATIONAL EFFICIENCY; COMPUTER VISION; HEALTH CARE; IMAGE RECOGNITION; MOTION ESTIMATION; VIDEO RECORDING;

GESTURE RECOGNITION;

EID: 84855880036     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.109     Document Type: Article

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