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  4. Towards Estimation of Front-crawl Energy Expenditure Using the Wearable Aquatic Movement Analysis System (WAMAS)
 
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conference paper

Towards Estimation of Front-crawl Energy Expenditure Using the Wearable Aquatic Movement Analysis System (WAMAS)

Dadashi, Farzin  
•
Aminian, Kamiar  
•
Crettenand, Florent
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2013
2013 Ieee International Conference On Body Sensor Networks (Bsn)
10th IEEE Body Sensor Networks Conference

Inertial measurement unit (IMU) is a promising tool in the quantification of energy expenditure for human on-land activities, though has never been deployed before to calculate the aquatic activities energy expenditure. Investigating the factors that influence the required energy in aquatic locomotion can help the biomecanicians to better understand the biophysics of swimming. We used a set of three waterproofed IMUs worn on the forearms and sacrum of twelve swimmers to estimate the front-crawl energy expenditure. The swimmers performed three 300-m trials at 70%, 80% and 90% of their 400-m personal best time. At the end of each 300-m the reference value of energy expenditure was measured based on indirect calorimetry and blood lactate concentration. The three IMUs were used to extract the main spatio-temporal determinants of the front-crawl energy expenditure. Extraction of these parameters using IMU was previously validated. We used a combination of a linear estimator and kernel smoother on the residuals of the linear part to derive the mapping between the spatio-temporal inputs and reference energy expenditure. The algorithm validation on test data shows a strong association between the estimated and reference energy expenditure (Spearman's rho = 0.97, p-value <0.001) and a high relative precision of 9.7%.

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Type
conference paper
DOI
10.1109/BSN.2013.6575467
Web of Science ID

WOS:000333337600011

Author(s)
Dadashi, Farzin  
•
Aminian, Kamiar  
•
Crettenand, Florent
•
Millet, Gregoire P.
Date Issued

2013

Publisher

Ieee

Publisher place

New York

Published in
2013 Ieee International Conference On Body Sensor Networks (Bsn)
ISBN of the book

978-1-4799-0330-6

978-1-4799-0331-3

Total of pages

6

Subjects

Energy expenditure

•

wearable sensor

•

front-crawl

•

coordination

•

velocity

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMAM  
Event nameEvent placeEvent date
10th IEEE Body Sensor Networks Conference

MIT, Cambridge, USA

May 6-9, 2013

Available on Infoscience
June 2, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/103855
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