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Image Search Results
Journal: Electronics
Article Title: Use of a Wireless Network of Accelerometers for Improved Measurement of Human Energy Expenditure
doi: 10.3390/electronics3020205
Figure Lengend Snippet: Artificial neural networks were created for predicting energy expenditure (EE) from the wireless network and the ActiGraph. ( a ) The artificial neural network (ANN) created for the wireless network; and ( b ) the ANN created for the ActiGraph accelerometer. Note that the numbers of input and output variables shown match the number used in the study, but only three hidden units are shown in the figure for simplicity. The ANNs in this study had 13 hidden units in the hidden layer.
Article Snippet: Average predicted EE values (in METs) from the wireless network and
Techniques:
Journal: Electronics
Article Title: Use of a Wireless Network of Accelerometers for Improved Measurement of Human Energy Expenditure
doi: 10.3390/electronics3020205
Figure Lengend Snippet: Correlation coefficients and root mean square error (RMSE) values for predicted METs from the wireless system and hip-mounted ActiGraph ANNs, compared to the measured METs. An asterisk (*) indicates significant differences from the hip-mounted ActiGraph ANN ( p < 0.05).
Article Snippet: Average predicted EE values (in METs) from the wireless network and
Techniques: