International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Driver Drowsiness Detection System

Abstract

This report considers an overview of speech recognition technology, Software development, and its applications. The first section deals with the description of speech recognition process, its applications in different sectors, its flaws and finally the future of technology. Later part ofreport covers the speech recognition process, and the code for the software and it is working. Speech Recognition is the process of automatically recognizing a certain word spoken by a particular speaker based on individual information included in speech waves. In this project, we will use algorithms for the speech recognition which will implement on JAVA for platform independent facility this system can be used for any security system in which the person authentication is required.

Country : India

1 Abhishek Tiwari2 Harsh Gadade3 Prashant Tiwari4 Vikrant Sakpal

  1. Department of Computer Science and Engineering. Siddhant College of Engineering, Sudumbare, Pune, India
  2. Department of Computer Science and Engineering. Siddhant College of Engineering, Sudumbare, Pune, India
  3. Department of Computer Science and Engineering. Siddhant College of Engineering, Sudumbare, Pune, India
  4. Department of Computer Science and Engineering. Siddhant College of Engineering, Sudumbare, Pune, India

IRJIET, Volume 7, Special Issue of ICRTET- 2023 pp. 41-43

IRJIET.ICRTET10

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References

  1. J. May and C. Baldwin, “Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies,” Transp. Res. F, Traffic Psychol. Behav., vol. 12, no. 3, pp. 218–224, 2009.
  2. E. Hitchcock and G. Matthews, “Multidimensional assessment of fatigue: A review and recommendations,” in Proc. Int. Conf. Fatigue Manage. Transp. Oper., Seattle, WA, USA, Sep. 2005.
  3. A.Williamson, A. Feyer, and R. Friswell, “The impact of work practices on fatigue in long distance truck drivers,” Accident Anal. Prevent., vol. 28, no. 6, pp. 709–719, 1996.
  4. W. Dement and M. Carskadon, “Current perspectives on daytime sleepiness: The issues,” Sleep, vol. 5, no. S2, pp. S56–S66, 1982.
  5. L. Hartley, T. Horberry, N. Mabbott, and G. Krueger, “Review of fatigue detection and prediction technologies,” Nat. Road Transp. Commiss., Melbourne, Vic., Australia, Tech. Rep., 2000.
  6. A.Sahayadhas, K. Sundaraj, and M. Murugappan, “Detecting driver drowsiness based on sensors: A review,” Sensors, vol. 12, pp. 16 937–16 953, 2012.
  7. S. Kee, S. Tamrin, and Y. Goh, “Driving fatigue and performance among occupational drivers in simulated prolonged driving,” Global J. Health Sci., vol. 2, no. 1, pp. 167–177, 2010.
  8. M.-H. Sigari, M.-R.Pourshahabi, M. Soryani, and M. Fathy, “A review on driver face monitoring systems for fatigue and distraction detection,” Int. J. Adv. Sci. Technol., vol. 64, pp. 73–100, 2014.
  9. http://www.ieee.com
  10. http://code.google.com/SRS
  11. http://www.wikipedia.com/Speech
  12. http://www.google.co.in

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