Founded in 1971 >
Chinese Sci-tech Core Periodicals >
British Science Abstracts (SA, INSPEC) Indexed Journals >
United States, Cambridge Scientific Abstract: Technology (CSA: T) Indexed Journals >
United States, Ulrich's Periodicals Directory(UPD)Indexed Journals >
United States, Cambridge Scientific Abstract: Natural Science (CSA: NS) Indexed Journals >
Poland ,Index of Copernicus(IC) Indexed Journals >
International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Movement patterns during walking based on acceleration
HE Xianzhao1,2, LONG Xiwen2, MA Suhu2, CHEN Liaoyuan1
(1. College of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China;
2. Information Technology Research Center of Sports and Health, Institute of Intelligence Machines,
Chinese Academy of Sciences, Hefei 230031, China)
Abstract: In view of the existing human body velocity of movement models insufficiency, it was mainly studied which characteristic parameter of acceleration information and the gait change rule can reflect the velocity of movement under the different speed pattern. 20 young masculine volunteers were recruited, the characteristic parameters which including the maximum value, the minimum value, the rootmeansquare, the valley value, step frequency, the support time and the duration of oscillation were obtained while walking speed at 3 km/h, 4 km/h, 5 km/h, the 6 km/h in jogs machine on walks. The experimental result indicates that the step frequency, the rootmeansquare, the valley value can estimate the walking speeds in realtime, after the integration analysis of correlation coefficient, operability and the coefficient of variation of every parameter. All of conclusion can offer basic theoretical support for the development of pedometer and the instrument of specific power consumption.
Key words: acceleration; gait; characteristic parameters