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

Lai, Daniel; Begg, RK; Taylor, S; Palaniswami, M

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

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posted on 2024-10-10, 04:20 authored by Daniel LaiDaniel Lai, RK Begg, S Taylor, M Palaniswami

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

History

Journal

Journal of Biomechanics

Volume

41

Pagination

1762-1772

Location

United States

Publisher DOI

https://doi.org/10.1016/j.jbiomech.2008.02.037

ISSN

0021-9290

eISSN

1873-2380

Language

English

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

8

Publisher

ELSEVIER SCI LTD

Publication URL

http://dx.doi.org/10.1016/j.jbiomech.2008.02.037

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Keywords

Science & Technology Life Sciences & Biomedicine Technology Biophysics Engineering, Biomedical Engineering minimum toe clearance support vector machines autoregressive models gait analysis tripping falls FOOT RISK VARIABILITY KINEMATICS STRATEGIES WALKING MODEL

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

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