{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T06:09:34Z","timestamp":1748585374408,"version":"3.37.3"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515011431","2023A1515011347"],"award-info":[{"award-number":["2022A1515011431","2023A1515011347"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006204"],"award-info":[{"award-number":["62006204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["RCBS20210609104516043","JSGG20220606140201003","JSGG20210802154004014","JCYJ20210324115604012","ZDSYS20220606100601002"],"award-info":[{"award-number":["RCBS20210609104516043","JSGG20220606140201003","JSGG20210802154004014","JCYJ20210324115604012","ZDSYS20220606100601002"]}]},{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Human-Mach. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/thms.2023.3309256","type":"journal-article","created":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T18:22:35Z","timestamp":1698862955000},"page":"1083-1092","source":"Crossref","is-referenced-by-count":1,"title":["Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot Sampling"],"prefix":"10.1109","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5395-6175","authenticated-orcid":false,"given":"Qing","family":"Gao","sequence":"first","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9524-7609","authenticated-orcid":false,"given":"Zhaojie","family":"Ju","sequence":"additional","affiliation":[{"name":"School of Computing, University of Portsmouth, Portsmouth, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2493-6033","authenticated-orcid":false,"given":"Yongquan","family":"Chen","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1462-5402","authenticated-orcid":false,"given":"Tianwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4063-4545","authenticated-orcid":false,"given":"Yuquan","family":"Leng","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41423-020-0407-x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2021.3131683"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abb5589"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5121\/vlsic.2012.3218"},{"key":"ref6","first-page":"193","article-title":"Medical image segmentation for disease detection using digital filter","volume":"2","author":"Oksiya","year":"2014","journal-title":"Int. J. Tech. Res. Appl."},{"key":"ref7","first-page":"133","article-title":"VLSI implementation of Gabor filter in image detection-research direction","volume":"10","author":"Jothi","year":"2017","journal-title":"Int. J. Circuit Theory Appl."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISCIT.2009.5341156"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2012.6273246"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00106-015-0109-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2859482"},{"key":"ref14","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Dai","year":"2016"},{"article-title":"YOLOV4: Optimal speed and accuracy of object detection","year":"2020","author":"Bochkovskiy","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"article-title":"Objects as points","year":"2019","author":"Zhou","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_45"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2969046"},{"key":"ref21","first-page":"1","article-title":"The effectiveness of data augmentation in image classification using deep learning","volume":"11","author":"Wang","year":"2017","journal-title":"Convolutional Neural Netw. Vis. Recognit."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"1","key":"ref27","first-page":"105","article-title":"PaddlePaddle: An open-source deep learning platform from industrial practice","volume":"1","author":"Ma","year":"2019","journal-title":"Front. Data Domputing"},{"article-title":"YOLOV3: An incremental improvement","year":"2018","author":"Redmon","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2898624"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.02.066"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3062336"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00065"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561470"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2021.103917"}],"container-title":["IEEE Transactions on Human-Machine Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221037\/10360306\/10304315.pdf?arnumber=10304315","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:21:41Z","timestamp":1705353701000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10304315\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":37,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/thms.2023.3309256","relation":{},"ISSN":["2168-2291","2168-2305"],"issn-type":[{"type":"print","value":"2168-2291"},{"type":"electronic","value":"2168-2305"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}