Detection of tripping gait patterns in the elderly using autoregressive features and support vector machines

Journal of Biomechanics

Volumn 41, Issue 8, 2008, Pages 1762-1772

  Lai, Daniel T H ^a   Begg, Rezaul K ^b   Taylor, Simon ^b   Palaniswami, Marimuthu ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b VICTORIA UNIVERSITY   (Australia)

Author keywords

Autoregressive models; Gait analysis; Minimum toe clearance; Support vector machines; Tripping falls

Indexed keywords

BIODIVERSITY; HEALTH RISKS; REGRESSION ANALYSIS; RESPIRATORY SYSTEM; SUPPORT VECTOR MACHINES;

AUTOREGRESSIVE MODELS; MINIMUM TOE CLEARANCE; PULMONARY EMBOLISM; TRIPPING FALLS;

GAIT ANALYSIS;

AGED; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; FALLING; GAIT; HUMAN; PRIORITY JOURNAL; RISK; SCREENING; SUPPORT VECTOR MACHINE; TREADMILL; WALKING;

ACCIDENTAL FALLS; AGED; ARTIFICIAL INTELLIGENCE; GAIT; HUMANS; MODELS, THEORETICAL; MUSCULOSKELETAL EQUILIBRIUM; WALKING;

EID: 43549089000     PISSN: 00219290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2008.02.037     Document Type: Article

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