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Title: :  Motorist Solemness Monitoring System using Support Vector Machine
PaperId: :  17262
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17262
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Chitta Venkata RamyaVasireddy Venkatadri Institute of Technology
Divve MeghanaVasireddy Venkatadri Institute of Technology
Battina Pravallika ChowdaryVasireddy Venkatadri Institute of Technology

Abstract

Information Technology
motorist(driver),drowsiness(solemness) detection, visual behaviour, eye aspect ratio, mouth opening ratio, nose length ratio
Drowsy(solemness) driving is one of the major causes of road accidents and death. Hence, detection of driver’s fatigue and its indication is an active research area. Most of the conventional methods are either vehicle based, or behavioural based or physiological based. Few methods are intrusive and distract the driver, some require expensive sensors and data handling. Therefore, in this study, a low cost, real time driver’s drowsiness detection system is developed with acceptable accuracy. In the developed system, a webcam records the video and driver’s face is detected in each frame employing image processing techniques. Facial landmarks on the detected face are pointed and subsequently the eye aspect ratio, mouth opening ratio and nose length ratio are computed and depending on their values, drowsiness is detected based on developed adaptive thresholding. Machine learning algorithms have been implemented as well in an offline manner. A sensitivity of 95.58% and specificity of 100% has been achieved in Support Vector Machine based classification.

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IJARIIE Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary. "Motorist Solemness Monitoring System using Support Vector Machine" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 3577-3584
MLA Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary. "Motorist Solemness Monitoring System using Support Vector Machine." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 3577-3584.
APA Chitta Venkata Ramya, Divve Meghana, & Battina Pravallika Chowdary. (2022). Motorist Solemness Monitoring System using Support Vector Machine. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 3577-3584.
Chicago Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary. "Motorist Solemness Monitoring System using Support Vector Machine." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 3577-3584.
Oxford Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary. 'Motorist Solemness Monitoring System using Support Vector Machine', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 3577-3584. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Motorist_Solemness_Monitoring_System_using_Support_Vector_Machine_ijariie17262.pdf (Accessed : ).
Harvard Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary. (2022) 'Motorist Solemness Monitoring System using Support Vector Machine', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 3577-3584IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Motorist_Solemness_Monitoring_System_using_Support_Vector_Machine_ijariie17262.pdf (Accessed : )
IEEE Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary, "Motorist Solemness Monitoring System using Support Vector Machine," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 3577-3584, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Motorist_Solemness_Monitoring_System_using_Support_Vector_Machine_ijariie17262.pdf [Accessed : ].
Turabian Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary. "Motorist Solemness Monitoring System using Support Vector Machine." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Chitta Venkata Ramya, Divve Meghana, and Battina Pravallika Chowdary. Motorist Solemness Monitoring System using Support Vector Machine. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 3577-3584. Available from: https://ijariie.com/AdminUploadPdf/Motorist_Solemness_Monitoring_System_using_Support_Vector_Machine_ijariie17262.pdf
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