IoT based Drowsiness detection, Monitoring and Controlling System

Abstract

In this article, a Brain-Computer Interface (BCI) headset or headbandwhich contains 3 electrodes has used to detect the drowsiness that monitors and control the system. The headset is hooked up on theindividual’s head to calculate the frequencies of brain wave. The frequencywaveform which has collectedby thebrain-computer interfaceheadset has manipulated to eliminate the external disturbancefrom the system. The frequency waveformthat has computed is subsequentlyevaluated with the threshold frequency of the brain waveformas well as a specific decision hascomputed to checkthat particular person is in a drowsy state or in an active state. Whenthat particular person is in a drowsy state, then the sensor which is connected with the brain sends the detected data to the system which can be monitored on the LCD display.  A specificindication is producedon his/her mobile phone to alert the person. A particular person’s drowsinesspatterns arecollected in the cloud sothat we can utilized for examiningtheuser’s brain state even at the time of working. In this proposed paper the aim of this method is to gather the work carried out contained by a selected terms and satisfaction of work.