Drowsiness Detection and Monitoring the Sleeping Pattern using Brainwaves Technology and IoT

In this paper, a drowsiness detection system based on a brain-computer interface (BCI) headset having 3 electrodes is proposed. The headset is mounted on the user’s head to compute the brain wave frequencies. The signal received from BCI headset is processed to remove the external noise. The computed frequencies is then compared by the threshold frequencies of the brain state and a particular decision like whether an individual is in an active state or in a drowsy state can be taken. If an individual is in a drowsy state, a particular alarm is generated on his/her Android phone to wake the person up. An individual user’s sleeping pattern while working is stored on the cloud so that it can be used for analyzing an individual’s brain state while working. This project is proposed with an aim of getting the work done within a particular time period.