INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Many traffic accidents worldwide are attributed to drivers who are not fully focused on the road, as they are engrossed in other activities. The behavior of drivers significantly impacts the safety of driving. However, existing methods that rely on image-based features to identify such behavior can sometimes misjudge critical situations.
To comprehend driver actions, a system has been developed for recognizing driver activities, particularly distracted driving, using deep convolutional neural networks. This research suggests the utilization of DenseNet, MobileNet, and Convolutional Neural Networks (CNNs). The performance of DenseNet and MobileNet, both known for their lightweight design, is investigated across various datasets and network depths. Additionally, the quality of the dataset itself plays a pivotal role in determining the model's ability to make accurate generalizations. The ability to identify hazardous driving scenarios could prove valuable in reducing roadside accidents.
Keywords:
Feature extraction, Deep Learning, DenseNet, MobileNet, Convolutional Neural Networks.
Cite Article:
"TRACKING OF DRIVER ACTIVITY USING DEEP LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.a231-a240, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309028.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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