DocumentCode :
2115278
Title :
Classification of human physical activity and energy expenditure estimation by accelerometry and barometry
Author :
Anastasopoulou, P. ; Tansella, M. ; Stumpp, J. ; Shammas, L. ; Hey, S.
Author_Institution :
Inst. for Inf. Process. Technol., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
6451
Lastpage :
6454
Abstract :
Regular exercise and physical activity are among the most important factors influencing the quality of life and make a significant contribution to the maintenance of health and well-being. The assessment of physical activity via accelerometry has become a promising technique often used as means to objectively measure physical activity. This work proposes a simple and reliable method to assess human physical activity and calculate the energy expenditure (EE) by using an acceleration and an air pressure sensor. Our proposed algorithm differentiates between 7 activities with an average accuracy of 98.2% and estimates the second by second EE with an average percent error of 1.59 ± 8.20% using a single measurement unit attached to the subject´s hip.
Keywords :
acceleration; accelerometers; biomedical equipment; biomedical measurement; estimation theory; medical signal processing; pressure sensors; signal classification; acceleration; accelerometry; air pressure sensor; average percent error; barometry; energy expenditure estimation; health maintenance; human physical activity classification; physical activity measurement; regular exercise; subject hip; Acceleration; Legged locomotion; MATLAB; Mathematical model; Reliability; Sensitivity; Weight measurement; Accelerometry; Algorithms; Energy Metabolism; Female; Humans; Male; Motor Activity; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347471
Filename :
6347471
Link To Document :
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