Improvement of walking speed prediction by accelerometry and altimetry, validated by satellite positioning.

Détails

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ID Serval
serval:BIB_DEB684810251
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Improvement of walking speed prediction by accelerometry and altimetry, validated by satellite positioning.
Périodique
Medical and Biological Engineering and Computing
Auteur⸱e⸱s
Perrin O., Terrier P., Ladetto Q., Merminod B., Schutz Y.
ISSN
0140-0118 (Print)
ISSN-L
0140-0118
Statut éditorial
Publié
Date de publication
03/2000
Volume
38
Numéro
2
Pages
164-168
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Activity monitors based on accelerometry are used to predict the speed and energy cost of walking at 0% slope, but not at other inclinations. Parallel measurements of body accelerations and altitude variation were studied to determine whether walking speed prediction could be improved. Fourteen subjects walked twice along a 1.3 km circuit with substantial slope variations (-17% to +17%). The parameters recorded were body acceleration using a uni-axial accelerometer, altitude variation using differential barometry, and walking speed using satellite positioning (DGPS). Linear regressions were calculated between acceleration and walking speed, and between acceleration/altitude and walking speed. These predictive models, calculated using the data from the first circuit run, were used to predict speed during the second circuit. Finally the predicted velocity was compared with the measured one. The result was that acceleration alone failed to predict speed (mean r = 0.4). Adding altitude variation improved the prediction (mean r = 0.7). With regard to the altitude/acceleration-speed relationship, substantial inter-individual variation was found. It is concluded that accelerometry, combined with altitude measurement, can assess position variations of humans provided inter-individual variation is taken into account. It is also confirmed that DGPS can be used for outdoor walking speed measurements, opening up new perspectives in the field of biomechanics.
Mots-clé
Acceleration, Adult, Altitude, Biomechanics, Energy Metabolism/physiology, Female, Humans, Linear Models, Male, Reproducibility of Results, Satellite Communications, Walking/physiology, Walking/statistics & numerical data
Pubmed
Web of science
Open Access
Oui
Création de la notice
21/01/2008 13:09
Dernière modification de la notice
14/02/2022 7:57
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