Design and Implementation of a Smart System for Assistance of Sleepy Driver Using ECG EEG and other Physiological Signals

Authors

  • Raghuvendra Pratap Tripathi  Department of Electronics & Communication Engineering, ASET, Amity University Lucknow, India
  • G. R. Mishra  Department of Electronics & Communication Engineering, ASET, Amity University Lucknow, India

Keywords:

SREM, EEG, ECG, MATLAB, EOG, EMG.

Abstract

In this paper we have designed a smart system for the assistances of driver who is in the nap during the driving of a vehicle and we will also determine the stage of sleep for the deciding whether the driver is again in the condition of driving or not because we have seen that these nap conditions has cost us 1000s of lives lots of people have lost their lives because of these nap like states of their driver. In our design the nap is detected by the analysis of ECG, EEG EOG,EMG and respiratory signals generated by driver`s body in the earlier researches many researchers also tried to detect these nap conditions only through EEG and EOG or any other combination of above signals but not all the signals were analyzed at the same time, in our design we have analyzed all the signals at the same time because in application which is going to be used in the real time situations like driving the accuracy of system should be the highest priority parameter above all other parameter like cost of the system complexity of the system etc. Because a little bit of wrong information sometime may cost too many lives. In this design we have setup a circuit that will perform the real time acquisition of ECG,EEG,EMG,EOG and respiratory signals and after that those signals are analyzed using MATLAB in order to detect the nap, using EOG signals we can calculate the duration of eye blink and if the eye blink duration is continuously keeps increasing and cross a certain value which is greater than normal it indicates that the driver may be in nap and the EMG signals will help in deciding the facial expressions like sleep ,at the same time EEG,ECG ,and respiratory signals are also analyzed and they will help us to determine the confirmation about sleep and the stage of the sleep also going to be determined ,once the driver's condition is determined then on the basis of this a control signal will be generated and given to the GSM module and that will send a message with the information of location to the owner of the vehicle and also a alarm will ring in the vehicle.

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International Journal of Scientific Research in Science and Technology

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Published

2018-05-30

Issue

Volume 4, Issue 8, May-June-2018

Section

Research Articles

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How to Cite

[1]
Raghuvendra Pratap Tripathi, G. R. Mishra, " Design and Implementation of a Smart System for Assistance of Sleepy Driver Using ECG EEG and other Physiological Signals , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 8, pp.179-187, May-June-2018.