Deep learning classifier for fall detection based on IR distance sensor data

Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2015

Volumn 2, Issue , 2015, Pages 723-727

  Jankowski, Stanislaw ^a   Szymanski, Zbigniew ^a   Dziomin, Uladzimir ^a,b   Mazurek, Pawel ^a   Wagner, Jakub ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b BREST STATE TECHNICAL UNIVERSITY   (Belarus)

Author keywords

fall detection; feature selection; Gramm Schmidt orthogonalization; infra red distance sensor; NPCA

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; MATHEMATICAL TRANSFORMATIONS;

DISTANCE SENSORS; FALL DETECTION; GRAM-SCHMIDT ORTHOGONALIZATIONS; NPCA; REAL-LIFE APPLICATIONS; SCHMIDT ORTHOGONALIZATION; STATISTICAL CLASSIFIER; STATISTICAL PROPERTIES;

FEATURE EXTRACTION;

EID: 84957587615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDAACS.2015.7341398     Document Type: Conference Paper

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