A hybrid Support Vector Machine and autoregressive model for detecting gait disorders in the elderly

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 321-326

  Lai, Daniel T H ^a   Khandoker, Ahsan ^a   Begg, Rezaul K ^b   Palaniswami, M ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b VICTORIA UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARGON; ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; GAIT ANALYSIS; GEARS; IMAGE RETRIEVAL; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; OCCUPATIONAL RISKS; POPULATION STATISTICS; REGRESSION ANALYSIS; RISK ANALYSIS; RISK ASSESSMENT; STATISTICAL METHODS; TIME SERIES ANALYSIS; VECTORS;

ELDERLY PEOPLE; SUPPORT VECTOR MACHINES;

MATHEMATICAL MODELS;

EID: 51749088592     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4370976     Document Type: Conference Paper

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