Incline, speed, and distance assessment during unconstrained walking.

Details

Serval ID
serval:BIB_9E5D4E366F34
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Incline, speed, and distance assessment during unconstrained walking.
Journal
Medicine and Science in Sports and Exercise
Author(s)
Aminian K., Robert P., Jéquier E., Schutz Y.
ISSN
0195-9131 (Print)
ISSN-L
0195-9131
Publication state
Published
Issued date
02/1995
Volume
27
Number
2
Pages
226-234
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Body accelerations during human walking were recorded by a portable measuring device. A new method for parameterizing body accelerations and finding the pattern of walking is outlined. Two neural networks were designed to recognize each pattern and estimate the speed and incline of walking. Six subjects performed treadmill walking followed by self-paced walking on an outdoor test circuit involving roads of various inclines. The neural networks were first "trained" by known patterns of treadmill walking. Then the inclines, the speeds, and the distance covered during overground walking (outdoor circuit) were estimated. The results show a good agreement between actual and predicted variables. The standard deviation of estimated incline was less than 2.6% and the maximum of the coefficient of variation of speed estimation is 6%. To the best of our knowledge, these results constitute the first assessment of speed, incline and distance covered during level and slope walking and offer investigators a new tool for assessing levels of outdoor physical activity.
Keywords
Adult, Energy Metabolism, Female, Gait/physiology, Humans, Male, Neural Networks (Computer), Walking/physiology
Pubmed
Web of science
Create date
21/01/2008 13:07
Last modification date
20/08/2019 15:04
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