Attention Level Detection System Based on Brain Computer Interface (BCI)
Keywords:
EEG, BCI, Attention Level, Brain Wave FrequencyAbstract
The human brain provides several functions such as expressing emotions, controlling the rate of breathing, etc., and their study has aroused the interest of scientists for many years. In this project, we propose a method to assess and quantify human attention and its impact on learning. In our study, we used a Brain-Computer Interface (BCI) capable of detecting brain state variations, whether distracted or not and displaying corresponding electroencephalograms (EEGs). The BCI headset comprising of surface EEG electrodes is attached to the user's head to acquire the brainwaves. The signal received by the BCI headset is processed to remove external noise. The calculated frequencies are then compared to the threshold frequencies of the brain state and a specific decision like whether a person is in an active or distracted state, and the data is then recorded in the cloud.
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