DocumentCode :
1233257
Title :
Universal algorithm for exercise rate estimation in walking, cycling and rowing using triaxial accelerometry
Author :
Cheng, T.M. ; Savkin, A.V. ; Celler, B.G. ; Su, S.W. ; Wang, N.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
Volume :
45
Issue :
8
fYear :
2009
Firstpage :
394
Lastpage :
395
Abstract :
A technique that can reliably monitor exercise intensity plays an important role for the effectiveness and safety of an exercise prescription. A universal algorithm for the recursive estimation of exercise rate during a variety of aerobic exercises using measurements from a body-mounted triaxial accelerometer (TA) is proposed. Information about the type of exercise is not required by the algorithm and the TA can be mounted at the same location regardless of the exercise type. The algorithm involves period detection and data fusion. Experimental results demonstrate that the algorithm is effective for common aerobic exercises.
Keywords :
biology computing; gait analysis; recursive estimation; aerobic exercises; body-mounted triaxial accelerometer; cycling; data fusion; exercise rate estimation; period detection; recursive estimation; rowing; triaxial accelerometry; walking;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2009.3515
Filename :
4813153
Link To Document :
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