Using kinematic data for automatic detection of gait events in novice walking infants

Price, C ORCID: https://orcid.org/0000-0002-5633-1250, Martinez Santos, A ORCID: https://orcid.org/0000-0003-1808-5914 and Nester, CJ ORCID: https://orcid.org/0000-0003-1688-320X 2018, 'Using kinematic data for automatic detection of gait events in novice walking infants' , Gait & Posture, 65 (Sup_1) , pp. 369-371.

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Abstract

Poster presentation.
Gait analysis relies on the accurate identification of events such as foot-contact and foot-off. In a standard gait laboratory force plates would be used to identify these, in other environments kinematic data are used. O’Connor et al developed a kinematic gait detection algorithm based on foot velocity (FVA) for use in paediatric gait and proved it more reliable than other options in 2–13 year old. This utilises heel and toe markers to generate a foot centre and utilises characteristics of its velocities to define “heel-strike” and “toe-off”. The highly variable gait of new walkers moving freely may prove the FVA less effective and lack of true “heel” and “toe” contacts suggests this terminology is imprecise.

Item Type:	Article
Schools:	Schools > School of Health and Society > Centre for Health Sciences Research
Journal or Publication Title:	Gait & Posture
Publisher:	Elsevier
ISSN:	1879-2219
Related URLs:	Publisher
SWORD Depositor:	Publications Router
Depositing User:	Publications Router
Date Deposited:	16 Aug 2018 08:22
Last Modified:	27 Aug 2021 23:52
URI:	https://usir.salford.ac.uk/id/eprint/48057

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