Hi Mr. Dodi Zulherman
Just wondering, in the result of your researh, all of the accuracy you obtained is
under 30%, may you explain to me, why did that happen?
Replies:
Thank you for the question, the results of several experiments that have been
tested in this study have a poor level of accuracy. We have found out that the error
value obtained during classification is very high, where the highest error value is
8235.7 during the 3745 iterations. But, there are some times where the error
increases and suddenly decreases again. The smallest error value obtained is
110.2192 in the 17622 iterations. Based on the error graph concept, it can be
concluded that the classification system used by the researcher is underfitting. This
can be caused by several things, including the pre-processing process that can
change the value of the dataset, as well as the extraction of features that have not
yet obtained the characteristics of the dataset, so it is difficult to distinguish each
class.
I am interested in the issues discussed. Initial data processing using feature
extraction. Hand and Foot Movement Classification Image using Backpropagation
Perceptron Multilayer. So what is the role of wavelets with hand and foot
movement of motor images in forming data sets.
Replies:
Thank you for the question,
The wavelet packet decomposition in this research was used as the feature
extraction stage. We decompose the EEG signal using WPD to get the feature
values for each signal.
