000199236 001__ 199236
000199236 005__ 20190812205758.0
000199236 02470 $$2ISI
000199236 020__ $$a978-1-4799-0330-6
000199236 02470 $$a000333337600011
000199236 020__ $$a978-1-4799-0331-3
000199236 037__ $$aCONF
000199236 245__ $$aTowards Estimation of Front-crawl Energy Expenditure Using the Wearable Aquatic Movement Analysis System (WAMAS)
000199236 269__ $$a2013
000199236 260__ $$bIeee$$c2013$$aNew York
000199236 300__ $$a6
000199236 336__ $$aConference Papers
000199236 520__ $$aInertial measurement unit (IMU) is a promising tool in the quantification of energy expenditure for human on-land activities, though has never been deployed before to calculate the aquatic activities energy expenditure. Investigating the factors that influence the required energy in aquatic locomotion can help the biomecanicians to better understand the biophysics of swimming. We used a set of three waterproofed IMUs worn on the forearms and sacrum of twelve swimmers to estimate the front-crawl energy expenditure. The swimmers performed three 300-m trials at 70%, 80% and 90% of their 400-m personal best time. At the end of each 300-m the reference value of energy expenditure was measured based on indirect calorimetry and blood lactate concentration. The three IMUs were used to extract the main spatio-temporal determinants of the front-crawl energy expenditure. Extraction of these parameters using IMU was previously validated. We used a combination of a linear estimator and kernel smoother on the residuals of the linear part to derive the mapping between the spatio-temporal inputs and reference energy expenditure. The algorithm validation on test data shows a strong association between the estimated and reference energy expenditure (Spearman's rho = 0.97, p-value <0.001) and a high relative precision of 9.7%.
000199236 6531_ $$aEnergy expenditure
000199236 6531_ $$awearable sensor
000199236 6531_ $$afront-crawl
000199236 6531_ $$acoordination
000199236 6531_ $$avelocity
000199236 700__ $$0242461$$g190972$$aDadashi, Farzin
000199236 700__ $$0240167$$g104385$$aAminian, Kamiar
000199236 700__ $$aCrettenand, Florent
000199236 700__ $$aMillet, Gregoire P.
000199236 7112_ $$aIEEE International Conference on Body Sensor Networks
000199236 773__ $$t2013 Ieee International Conference On Body Sensor Networks (Bsn)
000199236 909C0 $$xU10303$$pLMAM$$0252052
000199236 909CO $$pconf$$pSTI$$ooai:infoscience.tind.io:199236
000199236 917Z8 $$x104385
000199236 937__ $$aEPFL-CONF-199236
000199236 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000199236 980__ $$aCONF