{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:47:56Z","timestamp":1772498876386,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030845285","type":"print"},{"value":"9783030845292","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-84529-2_8","type":"book-chapter","created":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T15:01:42Z","timestamp":1628521302000},"page":"91-102","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Abnormal Driving Detection Based on Human Pose Estimation and Facial Key Points Detection"],"prefix":"10.1007","author":[{"given":"Zihao","family":"Ye","sequence":"first","affiliation":[]},{"given":"Qize","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Xinxin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Jiajun","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2216-7576","authenticated-orcid":false,"given":"Chao","family":"Fan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,9]]},"reference":[{"key":"8_CR1","unstructured":"Mei, S.: Text data analysis and application of severe road traffic accidents in China. Henan Polytechnic University (2017)"},{"key":"8_CR2","unstructured":"Mu, G.: Study on dangerous driving behavior recognition based on deep learning. Hangzhou Dianzi University (2020)"},{"issue":"21","key":"8_CR3","first-page":"39","volume":"2020","author":"Z Liu","year":"2020","unstructured":"Liu, Z.: Application of Dlib in face recognition technology. Pract. Electron. 2020(21), 39\u201341 (2020)","journal-title":"Pract. Electron."},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Kazemi, V., Sullivan, J.: One millisecond face alignment with an ensemble of regression trees. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1867\u20131874 (2014)","DOI":"10.1109\/CVPR.2014.241"},{"issue":"10","key":"8_CR5","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang, K., Zhang, Z., Li, Z., Qiao, Y.: Joint face detection and alignment using multi-task cascaded convolutional networks. IEEE Signal Process. Lett. (SPL) 23(10), 1499\u20131503 (2016)","journal-title":"IEEE Signal Process. Lett. (SPL)"},{"key":"8_CR6","unstructured":"Chen, Y.: Driver fatigue real-time monitoring system design and realize based on DSP technology. Shandong University (2010)"},{"key":"8_CR7","unstructured":"Dinges, D.F., Grace, R.: PERCLOS: a valid psychophysiological measure of alertness as assessed by psychomotor vigilance. Tech Brief (1998)"},{"key":"8_CR8","unstructured":"Feng, X., Fang, B.: Fatigue detection of vehicle drivers based on facial features, pp. 1\u20137. Mechanical Science and Technology for Aerospace Engineering (2020)"},{"key":"8_CR9","unstructured":"Zhe, C., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1302\u20131310 (2017)"},{"issue":"01","key":"8_CR10","first-page":"133","volume":"9","author":"G Huang","year":"2013","unstructured":"Huang, G., Li, Y.: A survey of human action and pose recognition. Comput. Knowl. Technol. 9(01), 133\u2013135 (2013)","journal-title":"Comput. Knowl. Technol."},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Cheng, B., et al.: HigherHRNet: scale-aware representation learning for bottom-up human pose estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5386\u20135395 (2020)","DOI":"10.1109\/CVPR42600.2020.00543"},{"key":"8_CR12","unstructured":"Liu, Y.: Driving behavior study based on Electroencephalography data analysis. Jiaotong University, Beijing (2019)"},{"key":"8_CR13","unstructured":"Xing, W.: Research on driving fatigue detection based on EEG signal recognition. Hangzhou Dianzi University (2019)"},{"key":"8_CR14","unstructured":"Yu, C.: Research on recognition method of driving fatigue characteristics based on physiological parameters. Yangzhou University (2020)"},{"issue":"26","key":"8_CR15","first-page":"240","volume":"16","author":"X Wang","year":"2016","unstructured":"Wang, X., Tong, M., Wang, M.: Fatigue detection based on the inner profile characteristics of the mouth. Sci. Technol. Eng. 16(26), 240\u2013244 (2016)","journal-title":"Sci. Technol. Eng."},{"key":"8_CR16","unstructured":"Chen, H.: Research on the method of driver abnormal posture recognition based on convolutional neural network. Dalian University of Technology (2020)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-84529-2_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T15:01:15Z","timestamp":1710255675000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-84529-2_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030845285","9783030845292"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-84529-2_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2021a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2021\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}