{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T12:40:09Z","timestamp":1755780009237,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T00:00:00Z","timestamp":1703203200000},"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":[[2023,12,22]]},"DOI":"10.1145\/3660043.3660075","type":"proceedings-article","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T10:18:07Z","timestamp":1717064287000},"page":"177-182","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on learner classroom behavior recognition based on YOLOv5 algorithm"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4352-6611","authenticated-orcid":false,"given":"Kai","family":"Han","sequence":"first","affiliation":[{"name":"The School of Information Science, Beijing Language and Culture University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6630-8870","authenticated-orcid":false,"given":"Juan","family":"Xu","sequence":"additional","affiliation":[{"name":"The School of Information Science, Beijing Language and Culture University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,30]]},"reference":[{"issue":"06","key":"e_1_3_2_1_1_1","first-page":"96","article-title":"Measurement and analysis of students' classroom learning engagement based on computer vision technology[J]","volume":"31","author":"Chun Zhao","year":"2021","unstructured":"Zhao Chun, Shu Hang, Gu Xiaoqing. 2021. Measurement and analysis of students' classroom learning engagement based on computer vision technology[J]. Modern Educational Technology, 31(06): 96-103.","journal-title":"Modern Educational Technology"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10964-011-9665-3"},{"issue":"02","key":"e_1_3_2_1_3_1","first-page":"43","article-title":"Empowering international Chinese smart education with language intelligence: current situation and future direction[J]","volume":"8","author":"Ruijun Ma","year":"2023","unstructured":"Ma Ruijun, Xu Juan. 2023. Empowering international Chinese smart education with language intelligence: current situation and future direction[J]. International Chinese Education (Chinese and English), 8 (02): 43-52.","journal-title":"International Chinese Education (Chinese and English)"},{"key":"e_1_3_2_1_4_1","first-page":"40","article-title":"Research on the teacher's role in cooperative learning in international Chinese classrooms[J]","author":"Lu Liu","year":"2022","unstructured":"Liu Lu, Liu Yuanman. 2022. Research on the teacher's role in cooperative learning in international Chinese classrooms[J]. Journal of Tianjin Normal University (Social Science Edition), (03): 40-48.","journal-title":"Journal of Tianjin Normal University (Social Science Edition), (03)"},{"key":"e_1_3_2_1_5_1","unstructured":"Li Changhai. 2021. Research on human behavior recognition algorithm based on deep learning[D]. Chengdu: University of Electronic Science and Technology of China."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3238524"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Girshick R Donahue J Darrell T 2014. Rich feature hierarchies for accurate object detection and semantic segmentation[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2014: 580-587.","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Redmon J Divvala S Girshick R 2016. You only look once: Unified real-time object detection[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 779-788.","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_1_9_1","article-title":"A survey of YOLO object detection based on deep learning[J]","volume":"2022","author":"Yanhua Shao","year":"2022","unstructured":"Shao Yanhua, Zhang Duo, Chu Hongyu, Zhang Xiaoqiang, Rao Yunbo. 2022. A survey of YOLO object detection based on deep learning[J]. Journal of Electronics & Information, 2022, 44(10): 3697-3708.","journal-title":"Journal of Electronics & Information"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0259283"}],"event":{"name":"ICIEAI 2023: 2023 International Conference on Information Education and Artificial Intelligence","acronym":"ICIEAI 2023","location":"Xiamen China"},"container-title":["Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3660043.3660075","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3660043.3660075","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T12:17:05Z","timestamp":1755778625000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3660043.3660075"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,22]]},"references-count":10,"alternative-id":["10.1145\/3660043.3660075","10.1145\/3660043"],"URL":"https:\/\/doi.org\/10.1145\/3660043.3660075","relation":{},"subject":[],"published":{"date-parts":[[2023,12,22]]},"assertion":[{"value":"2024-05-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}