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Comparison of Levels of Attention between Blind and Normovisual People in a Learning Environment through EEG Analysis

In the present work, a comparison of the "Levels of Attention" was made between a group of blind people and another of normovisuals based on EEG records during the reproduction of a video of scientific divulgation and a questionnaire related to the video as a learning environment. The data was acquired by the MindWave Mobile device, while the analysis of the data was made in Weka, using "InfoGain", a tool which evaluated the attribute by measuring the information gain with respect to the class. The class consists of a classification of attention: "Very good", "Good", "Fair", "Bad" and "Very bad", based on the percentages activated by the attribute "Attention". The results indicated in both groups obtained a similar average of attention in a range of "Good" to "Bad". While through the application of InfoGain it was obtained that the waves with the greatest weight in the classification "Level of Attention" were: Delta, Theta, Attention and Low Alpha in both groups. In addition to High Beta specifically in the group of normovisuals.