{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T00:02:30Z","timestamp":1755993750503,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T00:00:00Z","timestamp":1700784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,24]]},"DOI":"10.1145\/3638682.3638686","type":"proceedings-article","created":{"date-parts":[[2024,5,22]],"date-time":"2024-05-22T15:32:08Z","timestamp":1716391928000},"page":"23-29","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning-based Experimental System Design for Fatigue Driving Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7729-7936","authenticated-orcid":false,"given":"Hongmei","family":"Jin","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Xi'an University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5696-6208","authenticated-orcid":false,"given":"Kaihua","family":"Cui","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Xi'an University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5397-8918","authenticated-orcid":false,"given":"Ni","family":"Jia","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Xi'an University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3275-8261","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Xi'an University of Science and Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7670-1027","authenticated-orcid":false,"given":"Yuying","family":"Shi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Xi'an University of Science and Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Fatigue driving detection and application based on face multi-feature points[C]\/\/ Proceedings of the Twenty-third Annual Conference on New Network Technologies and Applications","author":"Hui Xu","year":"2019","unstructured":"Hui Xu,Zhenyang Zhu,Yingjian Xiao,et al. Fatigue driving detection and application based on face multi-feature points[C]\/\/ Proceedings of the Twenty-third Annual Conference on New Network Technologies and Applications, China Computer Users Association Network Application Branch, 2019.2019."},{"key":"e_1_3_2_1_2_1","volume-title":"Research on fatigue driving detection based on steering wheel grip force [D]","author":"Zhang","year":"2016","unstructured":"M. Zhang. Research on fatigue driving detection based on steering wheel grip force [D]. Zhenjiang:Jiangsu University,2016:5."},{"issue":"1","key":"e_1_3_2_1_3_1","first-page":"47","article-title":"Research on fatigue driving detection technology based on human eye characteristics[J]","volume":"2020","author":"Baozhong WANG","unstructured":"YAN Baozhong, WANG Chenzhi, WANG Shuaishuai. Research on fatigue driving detection technology based on human eye characteristics[J]. Applied Science and Technology,2020(1):47-54.","journal-title":"Applied Science and Technology"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.12.4.279-286"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-08976-6"},{"issue":"15","key":"e_1_3_2_1_6_1","first-page":"72","article-title":"Deep learning based face tracking security monitoring system","volume":"2020","author":"Baojun Lai","unstructured":"Baojun Lai, Gongxing Chen, Shengkai Li, Deep learning based face tracking security monitoring system. Science and Technology Innovation,2020(15):72-74.","journal-title":"Science and Technology Innovation"},{"volume-title":"Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE","author":"Agrawal A","key":"e_1_3_2_1_7_1","unstructured":"Agrawal A, Jadhav N, Gaur A, Improving the Accuracy of Object Detection in Low Light Conditions using Multiple Retinex Theory-based Image Enhancement Algorithms[C]\/\/2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, 2022: 1\u20135."},{"key":"e_1_3_2_1_8_1","volume-title":"Liu D","author":"Jiang Y","year":"2021","unstructured":"Jiang Y, Gong X, Liu D, Enlightengan: Deep light enhancement without paired supervision[J]. IEEE transactions on image processing, 2021, 30: 2340\u20132349."},{"key":"e_1_3_2_1_9_1","first-page":"1","article-title":"Liu, Helmet detection algorithm based on improved YOLOv5s [J\/OL]","volume":"2023","author":"Zhao F.","unstructured":"R. Zhao, F. Liu, P. Liu, Helmet detection algorithm based on improved YOLOv5s [J\/OL]. Journal of Beijing University of Aeronautics and Astronautics, 2023: 1\u201316.","journal-title":"Journal of Beijing University of Aeronautics and Astronautics"},{"key":"e_1_3_2_1_10_1","volume-title":"Yang W","author":"Wang W","year":"2018","unstructured":"Wang W, Wei C, Yang W, Gladnet: Low-light enhancement network with global awareness[C]\/\/2018 13th IEEE international conference on automatic face & gesture recognition (FG 2018). IEEE, 2018: 751\u2013755."},{"key":"e_1_3_2_1_11_1","volume-title":"Edge computing based fatigue driving detection method [J]. computer engineering","author":"Lou P","year":"2021","unstructured":"Lou P, Yang X, Hu CW, Edge computing based fatigue driving detection method [J]. computer engineering, 2021, 47(07): 13\u201320."},{"key":"e_1_3_2_1_12_1","volume-title":"Fatigue driving detection based on lightweight convolutional neural network [J]","author":"Cheng Z","year":"2022","unstructured":"Cheng Z, Lin F-S, Jin Chao, Fatigue driving detection based on lightweight convolutional neural network [J]. Journal of Chongqing University of Technology (Natural Science), 2022, 36(02): 142\u2013150."},{"issue":"13","key":"e_1_3_2_1_13_1","first-page":"73","article-title":"Fatigue Driving Detection Based on Improved YOLOv4 Algorithm [J]","volume":"44","author":"Zhaohui Li","year":"2021","unstructured":"Zhaohui Li, Weiliang Zhang. Fatigue Driving Detection Based on Improved YOLOv4 Algorithm [J]. Electronic Measurement Technology, 2021, 44(13): 73\u201378.","journal-title":"Electronic Measurement Technology"},{"issue":"12","key":"e_1_3_2_1_14_1","first-page":"188","article-title":"Research on real-time detection algorithm of mask wearing based on YOLOv5 in complex scenes [J]","volume":"29","author":"Yu Shuo","year":"2021","unstructured":"Yu Shuo, Li Hui, Gui Fangjun, Research on real-time detection algorithm of mask wearing based on YOLOv5 in complex scenes [J]. Computer Measurement & Control, 2021, 29(12): 188\u2013194.","journal-title":"Computer Measurement & Control"},{"key":"e_1_3_2_1_15_1","volume-title":"Distance-IoU loss: Faster and better learning for bounding box regression[C]\/\/Proceedings of the AAAI conference on artificial intelligence","author":"Zheng Z","year":"2020","unstructured":"Zheng Z, Wang P, Liu W, Distance-IoU loss: Faster and better learning for bounding box regression[C]\/\/Proceedings of the AAAI conference on artificial intelligence. 2020, 34(07): 12993\u201313000."},{"key":"e_1_3_2_1_16_1","volume-title":"Deep learning-based real-time object detection for empty-dish recycling robot[C]\/\/2022 13th Asian Control Conference (ASCC)","author":"Yue X","year":"2022","unstructured":"Yue X, Li H, Shimizu M, Deep learning-based real-time object detection for empty-dish recycling robot[C]\/\/2022 13th Asian Control Conference (ASCC). IEEE, 2022: 2177\u20132182."}],"event":{"name":"VSIP 2023: 2023 the 5th International Conference on Video, Signal and Image Processing","acronym":"VSIP 2023","location":"Harbin China"},"container-title":["Proceedings of the 2023 5th International Conference on Video, Signal and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638682.3638686","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3638682.3638686","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:59:48Z","timestamp":1755914388000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638682.3638686"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,24]]},"references-count":16,"alternative-id":["10.1145\/3638682.3638686","10.1145\/3638682"],"URL":"https:\/\/doi.org\/10.1145\/3638682.3638686","relation":{},"subject":[],"published":{"date-parts":[[2023,11,24]]},"assertion":[{"value":"2024-05-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}