Detection of Type, Duration, and Intensity of Physical Activity Using an Accelerometer
Author(s) -
A. Bonomi,
Annelies Goris,
Bin Yin,
Klaas R. Westerterp
Publication year - 2009
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.703
H-Index - 224
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/mss.0b013e3181a24536
Subject(s) - accelerometer , duration (music) , acceleration , intensity (physics) , decision tree , mathematics , decision tree learning , cycling , statistics , computer science , artificial intelligence , acoustics , physics , geography , optics , archaeology , classical mechanics , operating system
The aim of this study was to develop models for the detection of type, duration, and intensity of human physical activity using one triaxial accelerometer.
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