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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21523
Article Published : 8515
Total Authors : 22403
Total Reviewer : 805
Total Countries : 158
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Published Paper Details
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| Paper Title: | Design of Driver Drowsiness Recognition System Using Correlation Between Principal Components |
| Authors Name: | Sunaina Yadav |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_185122
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| Published Paper Id: | IJRTI2212130 |
| Published In: | Volume 7 Issue 12, December-2022 |
| DOI: | |
| Abstract: | : A drowsiness detection system employing correlation between principal component analysis (CPCA) is the subject of this work. This work falls into the supervised machine learning category. This system has three basic steps: it uses CPCA to automatically detect a human drowsiness image, extracts various eye features, and uses Correlation between Principal Components to identify the Least Mean Square Error for eye detection. For effective and reliable drowsiness detection and annotation, the eye features of the drowsiness state image are measured using PCA, and correlation is used to detect it. This work presents a Supervised ML-based method that is significantly faster and can be run on low-computing capable processors. The primary drawback of the previous work was that detection was slow because unsupervised learning required more time on low-computing processors. This work discovered an optimized procedure with higher accuracy and a higher response rate, as well as an efficient throughput and detection rate. |
| Keywords: | : Least Mean square Error, Correlation, Principal Component Analysis, Supervised ML, Drowsiness, Signal Noise Ratio |
| Cite Article: | "Design of Driver Drowsiness Recognition System Using Correlation Between Principal Components", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.864 - 872, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212130.pdf |
| Downloads: | 000205240 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2212130
Registration ID:185122
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 864 - 872 Country: jabalpur, madhya pradesh, india Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2212130 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2212130 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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