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What your EEG wearable sensors can tell about you? by Chrystinne Oliveira Fernandes, Felipe Baldino Moreira, Simone Diniz Junqueira Barbosa, and Carlos José Pereira de Lucena is a scholarly article available to read on EtoBox.

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In this work, we carried out our experiments by using modern technologies to monitor brain activity and by performing Encephalography (EEG) in a wireless and mobile way through the use of wearable devices to capture EEG results. We used MindWave Mobile Headset devices to monitor electrical activity of the brain, to collect data generated by these devices (concentration and meditation levels, and brainwave patterns), and to assemble a dataset gathered from this capture. These data were pre-processed and analyzed, and we were able to make predictions based on the EEG data results. Using time series, the graphs presented indicated the levels of concentration and meditation over a period of time. We also carried out statistical analysis regarding the mean, median and moving average of attention and meditation. In addition, we performed experiments using Machine Learning techniques to identify: (i) the user of the Mindwave device, based on the electrical activity of the brain; (ii) the shift (day or night) at which monitoring was being performed, and (iii) the activity performed by the individual at the time of the encephalography.

Author

Chrystinne Oliveira Fernandes, Felipe Baldino Moreira, Simone Diniz Junqueira Barbosa, and Carlos José Pereira de Lucena

Publisher

ACM

Published

2017

Language

EN