A comparison of neural networks and support vector machines for recognizing young-old gait patterns

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn 1, Issue , 2003, Pages 354-358

  Begg, R ^a   Kamruzzaman, J ^b  

^a VICTORIA UNIVERSITY   (Australia)

^b MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DISEASES; ELECTROMYOGRAPHY; FUNCTIONS; MOTION ESTIMATION; POLYNOMIALS;

HUMAN LOCOMOTER SYSTEM; RADIAL BASAL FUNCTIONS; SUPPORT VECTOR MACHINE (SVM); YOUNG-OLD GAIT PATTERNS;

NEURAL NETWORKS;

EID: 2342554361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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