Driver cellphone usage detection using wavelet scattering and convolutional neural networks
This paper provides an automated system based on machine learning and computer vision to detect cellphone usage during driving. We used Wavelet Scattering Networks, which is a simple and efficient type of architecture. The presented model is straightforward and compact and requires little hyper-para...
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| Format: | Article |
| Language: | English |
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Amirkabir University of Technology
2025-07-01
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| Series: | AUT Journal of Mathematics and Computing |
| Subjects: | |
| Online Access: | https://ajmc.aut.ac.ir/article_5229_b3827b345e600a3ed1a2eb1a7b1bdc13.pdf |
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| _version_ | 1849688220280815616 |
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| author | Ali Besharati Ali Nahvi Serajeddin Ebrahimian |
| author_facet | Ali Besharati Ali Nahvi Serajeddin Ebrahimian |
| author_sort | Ali Besharati |
| collection | DOAJ |
| description | This paper provides an automated system based on machine learning and computer vision to detect cellphone usage during driving. We used Wavelet Scattering Networks, which is a simple and efficient type of architecture. The presented model is straightforward and compact and requires little hyper-parameter tuning. The speed of this model is similar to the Convolutional Neural Networks. We monitored the driver from two viewpoints: a frontal view of the driver’s face and a side view of the driver’s whole body. We created a new dataset for the first viewpoint, and used a publicly available dataset for the second viewpoint. Our model achieved the test accuracy of 91% for our new dataset and 99% for the publicly available one. |
| format | Article |
| id | doaj-art-2d834c7c7a0f4dfc8490de79f78c15f8 |
| institution | DOAJ |
| issn | 2783-2449 2783-2287 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Amirkabir University of Technology |
| record_format | Article |
| series | AUT Journal of Mathematics and Computing |
| spelling | doaj-art-2d834c7c7a0f4dfc8490de79f78c15f82025-08-20T03:22:04ZengAmirkabir University of TechnologyAUT Journal of Mathematics and Computing2783-24492783-22872025-07-016325726810.22060/ajmc.2023.22580.11775229Driver cellphone usage detection using wavelet scattering and convolutional neural networksAli Besharati0Ali Nahvi1Serajeddin Ebrahimian2Virtual Reality Laboratory, K.N. Toosi University of Technology, Tehran, IranVirtual Reality Laboratory, K.N. Toosi University of Technology, Tehran, IranVirtual Reality Laboratory, K.N. Toosi University of Technology, Tehran, IranThis paper provides an automated system based on machine learning and computer vision to detect cellphone usage during driving. We used Wavelet Scattering Networks, which is a simple and efficient type of architecture. The presented model is straightforward and compact and requires little hyper-parameter tuning. The speed of this model is similar to the Convolutional Neural Networks. We monitored the driver from two viewpoints: a frontal view of the driver’s face and a side view of the driver’s whole body. We created a new dataset for the first viewpoint, and used a publicly available dataset for the second viewpoint. Our model achieved the test accuracy of 91% for our new dataset and 99% for the publicly available one.https://ajmc.aut.ac.ir/article_5229_b3827b345e600a3ed1a2eb1a7b1bdc13.pdfmobile use detectionwavelet scattering networkcnncascade object detectortransfer learning |
| spellingShingle | Ali Besharati Ali Nahvi Serajeddin Ebrahimian Driver cellphone usage detection using wavelet scattering and convolutional neural networks AUT Journal of Mathematics and Computing mobile use detection wavelet scattering network cnn cascade object detector transfer learning |
| title | Driver cellphone usage detection using wavelet scattering and convolutional neural networks |
| title_full | Driver cellphone usage detection using wavelet scattering and convolutional neural networks |
| title_fullStr | Driver cellphone usage detection using wavelet scattering and convolutional neural networks |
| title_full_unstemmed | Driver cellphone usage detection using wavelet scattering and convolutional neural networks |
| title_short | Driver cellphone usage detection using wavelet scattering and convolutional neural networks |
| title_sort | driver cellphone usage detection using wavelet scattering and convolutional neural networks |
| topic | mobile use detection wavelet scattering network cnn cascade object detector transfer learning |
| url | https://ajmc.aut.ac.ir/article_5229_b3827b345e600a3ed1a2eb1a7b1bdc13.pdf |
| work_keys_str_mv | AT alibesharati drivercellphoneusagedetectionusingwaveletscatteringandconvolutionalneuralnetworks AT alinahvi drivercellphoneusagedetectionusingwaveletscatteringandconvolutionalneuralnetworks AT serajeddinebrahimian drivercellphoneusagedetectionusingwaveletscatteringandconvolutionalneuralnetworks |