SWA sensor is used to measure the treadmill walking running and cycling on the spot when the energy consumption, and compared with the indirect method of measuring thermal measurement results, the SWA to measure the effectiveness of the energy consumption for fitness, provide a reference for accurate application of the sensor. In 15 adult male in tablet exercise treadmill to complete the 4.8 km/h, 6.4 km/h, 8.0 km/h speed of three movement walk, run, and complete 10 km/h in indoor, 13 km/L, 15 km/h cycling sport, using SWA (two software version V6.1, V7.0) and indirect method of measuring thermal forecast movement of energy consumption, to predict data matching test, regression analysis, correlation analysis, Ie coefficient and consistency check. Results: (1) gWA6.1 overestimated the treadmill run go (1% overvalued) and field cycling of energy consumption (9% overvalued), but has good correlation and consistency (r = 0.91, the ICC = 0.91). Gara sensor (2) prediction of energy consumption for fitness value is far greater than the indirect method of measuring thermal prediction of energy consumption, and to predict the energy consumption difference increased with the increase of speed increasing, and the sensor old version overestimate low intensity exercise energy consumption and high intensity of energy consumption is different, but the estimate of the energy consumption and had a higher correlation.

The Publisher and Editor have retracted this article [1] in accordance with good ethical practices. After a thorough investigations we believe that the peer review process was compromised. The article was published on-line on-10-2015.

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