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

Authors(2) :-Raghuvendra Pratap Tripathi, G. R. Mishra

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.

Authors and Affiliations

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


  1. ‘Drowsiness Detection by Bayesian-Copula Discriminant Classi?er Based on EEG Signals during Daytime Short Nap’DongQian, Bei Wang*, Member, IEEE, Xiangyun Qing, Tao Zhang, Senior Member, IEEE, Yu Zhang, Member, IEEE, Xingyu Wang, and Masatoshi Nakamura, Senior Member, IEEE0018-9294 (c) 2016 IEEE.
  2. International Journal of Advanced Computer Research (ISSN (print): 2249-7277 ISSN (online): 2277-7970) Volume-2 Number-4 Issue-7 December-2012 93 Driver’s alertness detection for based on eye blink duration via EOG & EEG Yash S. Desai.
  3. G. Borghini et al., “Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness,” Neurosci. Biobehav. Rev., vol. 44, pp. 58–75, Jul. 2014
  4. R. N. Khushaba et al., “Driver drowsiness classi?cation using fuzzy wavelet-packet-based feature-extraction algorithm,” IEEE Trans. Biomed. Eng., vol. 58, no. 1, pp. 121–131, Jan. 2011.
  5. C. M. Bishop, Pattern Recognition and Machine Learning, New York: Springer, 2006.
  6. G. Klosch, B. Kemp, T. Penzel, A. Schl¨ogl, P. Rappelsberger, E. Trenker, G. Gruber, J. Zeitlhofer, B. Saletu, W. Herrmann, S. Himanen, D. Kunz, M. Barbanoj, J. Roschke, A. Varri, and G. Dorffner, “The SIESTA Project Polygraphic and Clinical Database,” IEEE Engineering in Medicine and Biology Magazine, vol. 20, no. 3, pp. 51–57, 2001.
  7. A. Savitzky and M. J. E. Golay, “Smoothing and Differentiation of Data by Simpli?ed Least Squares Procedures,” Analytical Chemistry, vol. 36, pp. 1627–1639, 1964.
  8. F. Wilcoxon, “Individual Comparisons by Ranking Methods,” Biometrics Bulletin, vol. 1, no. 6, pp. 80–83, 1945.
  9. H. Abdi, “Bonferroni and Sidak corrections for multiple comparisons,” in Encyclopedia of Measurement and Statistics, N. Salkind, Ed. Thousand Oaks (CA), 2007, pp. 103–107.
  10. T.Young,M.Palta,J.Dempsey,J.Skatrud,S.Weber,andS.Badr,“The occurrence of sleep-disordered breathing among middle-aged adults,” N Engl J Med, vol. 328, pp. 1230–5, 1993.
  11. B. Naegel, S. Launois, S. Mazza, C. Feuerstein, J. Ppin, and P. Lvy, “Which memory processes are affected in patients with obstructive sleep apnea? an evaluation of 3 types of memory,” Sleep, vol. 29(4), pp. 533–544, 2006.
  12. J. Muthuswamy and N. Thakor, “Spectral analysis methods for neurological signals,” J Neurosci Methods, vol. 83, pp. 1–14, 1998.
  13. C. Iber, S. Ancoli-Israel, A. Chesson, and S. Quan, “The aasm manual for the scoring of sleep and associated events: Rules, terminology and technical speci?cations,” American Academy of Sleep Medicine. Westchester, 2007.
  14. P. Addison, J. Walker, and R. Guido, “Time-frequency analysis of biosignals: a wavelet transform overview,” IEEE EMB Magazine, vol. 28(5), pp. 14–29, 2009.
  15. T.Ferree,“Sphericalsplinesandaveragereferencinginscalpelectroencephalography,” Brain Topography, vol. 19, pp. 43–52, 2006.
  16. J. Walsleben, E. O’Malley, K. Bonnet, R. Norman, and D. Rapoport, “The utility of topographic eeg mapping in obstructive sleep apneasyndrome,” Sleep, vol. 16, pp. 76–78, 1993.
  17. E. Verstraeten, “Neurocognitive effects of obstructive sleep apnea syndrome,” Current Neurology andNeuroscience Reports, vol.7, pp.161– 166, 2007.
  18. Neurowinverson 6.8,usermanual,Nasan Medical ElecronicsPvt.Ltd.

Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-05-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 179-187
Manuscript Number : IJSRST1845233
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

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), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 8, pp.179-187, May-June-2018.
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