{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:05:53Z","timestamp":1730199953953,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,9]]},"DOI":"10.1109\/bibm52615.2021.9669789","type":"proceedings-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T20:40:30Z","timestamp":1642192830000},"page":"3378-3385","source":"Crossref","is-referenced-by-count":1,"title":["Subway Driver Behavior Detection Method Based On Multi-features Fusion"],"prefix":"10.1109","author":[{"given":"Xinrong","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junping","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruhan","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"90","article-title":"Intelligent Recognition of Train Driver Behavior Based on Human Skeleton Information[J]","author":"zhiyi","year":"2020","journal-title":"Electric drive for locomotives"},{"key":"ref11","first-page":"222","article-title":"Driver's llegal behavior recognition based on neural network fusion[J]","volume":"35","author":"junjun","year":"2018","journal-title":"Computer Applications and Software"},{"key":"ref12","first-page":"1","article-title":"Study on motion boundary prediction of subway drivers based on temporal convolution nonlocal mean neural network[J]","author":"boge","year":"2020","journal-title":"Railway Locomotive Motor Car"},{"key":"ref13","first-page":"62","article-title":"Operation Mode Detection of Locomotive Driver Based on the Adaptive Updating Background [J]","author":"zhixiong","year":"2009","journal-title":"Electric drive for locomotives"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2010.5583562"},{"key":"ref15","first-page":"14","article-title":"Unsafe Behavior ldentification of Mining Truck Drivers Based on Video Sequences[J]","volume":"29","author":"lin","year":"2021","journal-title":"Gold Science and Technology"},{"key":"ref16","first-page":"3857","article-title":"Research on human fall behavior using CNN and LSTM-based hybrid model[J]","volume":"36","author":"xiangyang","year":"2019","journal-title":"Application Research of Computers"},{"key":"ref17","first-page":"1","article-title":"Research on student behavior recognition based on improved openpose[J\/OL]","author":"chao","year":"2021","journal-title":"Application Research of Computers"},{"key":"ref18","first-page":"584","article-title":"Action recognition based on deep aggregation feature from multi-temporal segmentations[J]","volume":"38","author":"shilei","year":"2021","journal-title":"Application Research of Computers"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM47256.2019.8983282"},{"key":"ref4","first-page":"4489","article-title":"Learning spatiotemporal features with 3d convolutional networks[C]","author":"tran","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref3","first-page":"33","article-title":"Research on implementation of detection system of vehicle dangerous driving behavior[J]","volume":"36","author":"haiwei","year":"2019","journal-title":"Jiangsu Science & Technology Information"},{"key":"ref6","first-page":"630","article-title":"Identity mappings in deep residual networks[C]","author":"he","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","first-page":"41","article-title":"Real-Time Drivers'Violation Behaviors Detection Based on Improved YOLOv3-tiny Algorithm-Based on Model Pruning and Half-Precision Acceleration[J]","volume":"29","author":"wei-wei","year":"2020","journal-title":"Computer Systems & Applications"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref2","first-page":"13","article-title":"Design and Realization of Locomotive Driver Behavior ldentification System Based on Intelligent Video Recognition Technology [J]","volume":"39","author":"rui fang","year":"2019","journal-title":"Railway Locomotive & Car"},{"key":"ref9","first-page":"212","article-title":"Railway Driver Behavior Recognition Based on Fusion Object Detection and Person Keypoints Detection[J]","volume":"28","author":"weiwei","year":"2020","journal-title":"Computer Measurement & Control"},{"key":"ref1","first-page":"148","article-title":"Statistical Analysis of Urban Rail Transit Accidents in China Based on Resilience Theory","volume":"33","author":"zeyu","year":"2020","journal-title":"Urban Rapid Rail Transit"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313481"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313451"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313129"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102142"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313447"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21727-x"}],"event":{"name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2021,12,9]]},"location":"Houston, TX, USA","end":{"date-parts":[[2021,12,12]]}},"container-title":["2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9669261\/9669139\/09669789.pdf?arnumber=9669789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:56Z","timestamp":1652201816000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669789\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,9]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/bibm52615.2021.9669789","relation":{},"subject":[],"published":{"date-parts":[[2021,12,9]]}}}