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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
COST-EFFECTIVE DROWSINESS DETECTION WITH ADAPTIVE VISUAL BEHAVIOR ANALYSIS
Authors
Vanapalli Likhitha, Mr. Koppala K V P Sekhar, Dr. LekkalaChinnnari
Keywords
MAR, Drowsy, SVM
Abstract
Drowsy driving is one of the major causes of road accident and fatalities. This paper proposes a low-cost, a real-time, driver drowsiness detection system through webcam based behavioral analysis and technologically modified software. Facial features are defined to evaluate anthropometric measures such as eye aspect ratio (EAR) and Mouth Creating Ratio (MAR). Adaptive thresholding is used to identify prolonged eye closure or yawning where drowsiness is likely to set in. It deploys a learning of classification Support Vector Machines (SVM) that detects and recognizes images for later use offline achieving 95.58% sensitivity and 100% specificity. Such a system is non-obtrusive and cost effective thereby reducing the risk of drowsy driving. Future work should involve embedding into car systems and evaluation based on the actual driving experience.
IJCRT's Publication Details
Unique Identification Number - IJCRTAS02021
Paper ID - 274213
Page Number(s) - 172-178
Pubished in - Volume 12 | Issue 12 | December 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Vanapalli Likhitha, Mr. Koppala K V P Sekhar, Dr. LekkalaChinnnari, "COST-EFFECTIVE DROWSINESS DETECTION WITH ADAPTIVE VISUAL BEHAVIOR ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.172-178, December 2024, Available at :http://www.ijcrt.org/papers/IJCRTAS02021.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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