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

Price, C; Martinez Santos, A; Nester, CJ

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.

Citation

Price, C., Martinez Santos, A., & Nester, C. (2018). Using kinematic data for automatic detection of gait events in novice walking infants. Gait & Posture, 65(Sup_1), 369-371. https://doi.org/10.1016/j.gaitpost.2018.07.019

• Journal Article Type: Article
• Online Publication Date: Jul 24, 2018
• Publication Date: Jul 24, 2018
• Deposit Date: Aug 16, 2018
• Journal: Gait & Posture
• Print ISSN: 0966-6362
• Publisher: Elsevier
• Volume: 65
• Issue: Sup_1
• Pages: 369-371
• DOI: https://doi.org/10.1016/j.gaitpost.2018.07.019
• Keywords: Event, Gait, Infant, Kinematic, Validation
• Publisher URL: https://doi.org/10.1016/j.gaitpost.2018.07.019
• Related Public URLs: https://www.gaitposture.com/