*3.5.1. Neuro fuzzy network dimensioning*

First was set the number of network inputs, which can vary from 2 to 8 depending on the number of channels which is intended to analyze. The channel that will be used on the network can be selected by the operator of the system which the developed routine performs reading of all channels and automatically separates the desired channels for processing. This function has as input the array of channels to be selected and as output only the desired channels. The output of the neuro-fuzzy networks is considered fixed, containing the 12 movements previously determined. The output values ranges from 0 to 1, and for each movement there is a corresponding fixed known value, as shown in Table 2.

He developed structure is a fuzzy network type Sugeno obtained in the generation of a initial structure adapted from a input-output set acquired in the systems tests. The structure contains eight inputs and one output.


**Table 2.** Network output values associated with the recognized movements.
