{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T05:17:45Z","timestamp":1788499065842,"version":"build-2803163510"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Artif Intell"],"DOI":"10.1007\/s44163-026-01933-6","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T04:36:21Z","timestamp":1788496581000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Human posture recognition model integrating YOLOv8 pose and graph multilayer perceptron"],"prefix":"10.1007","volume":"6","author":[{"given":"Delin","family":"Tian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,4]]},"reference":[{"issue":"2","key":"1933_CR1","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1371\/journal.pone.0263448","volume":"17","author":"MA Rafique","year":"2022","unstructured":"Rafique MA, Khaskheli F, Hassan MT, Naseer S, Jeon M. Employing automatic content recognition for teaching methodology analysis in classroom videos. PLoS ONE. 2022;17(2):546\u201356. https:\/\/doi.org\/10.1371\/journal.pone.0263448.","journal-title":"PLoS ONE"},{"issue":"2","key":"1933_CR2","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1049\/cvi2.12143","volume":"17","author":"L Zhou","year":"2023","unstructured":"Zhou L, Jiang T. Learning body part based pose lexicons for semantic action recognition. IET Comput Vis. 2023;17(2):135\u201355. https:\/\/doi.org\/10.1049\/cvi2.12143.","journal-title":"IET Comput Vis"},{"issue":"27","key":"1933_CR3","doi-asserted-by":"publisher","first-page":"19979","DOI":"10.1007\/s00521-023-08814-4","volume":"35","author":"Y Qi","year":"2023","unstructured":"Qi Y, Hu J, Hu L. MFGCN an efficient graph convolutional network based on multi order feature information for human skeleton action recognition. Neural Comput Appl. 2023;35(27):19979\u201395. https:\/\/doi.org\/10.1007\/s00521-023-08814-4.","journal-title":"Neural Comput Appl"},{"issue":"10","key":"1933_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2023.111074","volume":"281","author":"S Li","year":"2023","unstructured":"Li S, Xiang X, Cheng S, Wang K, Zhang J, Fang J. Exploring incomplete decoupling modeling with window and cross window mechanism for skeleton based action recognition. Knowl Based Syst. 2023;281(10):1\u201313. https:\/\/doi.org\/10.1016\/j.knosys.2023.111074.","journal-title":"Knowl Based Syst"},{"issue":"5","key":"1933_CR5","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.neucom.2023.02.045","volume":"533","author":"J Zhang","year":"2023","unstructured":"Zhang J, Wang X, Wan Y, Wang L, Wang J, Yu P. SOR TC self attentive octave ResNet with temporal consistency for compressed video action recognition. Neurocomputing. 2023;533(5):191\u2013205. https:\/\/doi.org\/10.1016\/j.neucom.2023.02.045.","journal-title":"Neurocomputing"},{"issue":"2","key":"1933_CR6","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1109\/TMM.2021.3127040","volume":"23","author":"X Gao","year":"2023","unstructured":"Gao X, Yang Y, Zhang Y, Li M, Yu J, Du S. Efficient spatio temporal contrastive learning for skeleton based three dimensional action recognition. IEEE Trans Multimed. 2023;23(2):405\u201317. https:\/\/doi.org\/10.1109\/TMM.2021.3127040.","journal-title":"IEEE Trans Multimed"},{"issue":"10","key":"1933_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2023.126830","volume":"560","author":"K Wang","year":"2023","unstructured":"Wang K, Deng H, Zhu Q. Lightweight channel topology based adaptive graph convolutional network for skeleton based action recognition. Neurocomputing. 2023;560(10):1\u201311. https:\/\/doi.org\/10.1016\/j.neucom.2023.126830.","journal-title":"Neurocomputing"},{"key":"1933_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2026.115589","author":"S Umirzakova","year":"2026","unstructured":"Umirzakova S, Baltayev J, Mardieva S, Muksimova S. Lightweight adaptive AI for novel real-time facial expression recognition. Knowl-Based Syst. 2026. https:\/\/doi.org\/10.1016\/j.knosys.2026.115589.","journal-title":"Knowl-Based Syst"},{"issue":"5","key":"1933_CR9","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.patrec.2023.02.024","volume":"168","author":"Z Liu","year":"2023","unstructured":"Liu Z, Cheng Q, Song C, Cheng J. Cross scale cascade transformer for multimodal human action recognition. Pattern Recognit Lett. 2023;168(5):17\u201323. https:\/\/doi.org\/10.1016\/j.patrec.2023.02.024.","journal-title":"Pattern Recognit Lett"},{"issue":"3","key":"1933_CR10","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1109\/TMM.2021.3129616","volume":"25","author":"S Xu","year":"2023","unstructured":"Xu S, Rao H, Hu X, Cheng J, Hu B. Prototypical contrast and reverse prediction unsupervised skeleton based action recognition. IEEE Trans Multimed. 2023;25(3):624\u201334. https:\/\/doi.org\/10.1109\/TMM.2021.3129616.","journal-title":"IEEE Trans Multimed"},{"issue":"3","key":"1933_CR11","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1109\/mra.2024.3415004","volume":"32","author":"J Qi","year":"2024","unstructured":"Qi J, Ma L, Yu Y. Dynamic importance-weighted fusion network based on dynamic convolutions for hand posture recognition: a technique based on red, green, blue plus depth cameras. IEEE Robot Autom Mag. 2024;32(3):134\u201345. https:\/\/doi.org\/10.1109\/mra.2024.3415004.","journal-title":"IEEE Robot Autom Mag"},{"issue":"8","key":"1933_CR12","doi-asserted-by":"publisher","first-page":"126360.1","DOI":"10.1016\/j.eswa.2024.126360","volume":"268","author":"Y Lai","year":"2025","unstructured":"Lai Y, Yuan S, Nassar Y. NVP-HRI: zero shot natural voice and posture-based human\u2013robot interaction via large language model. Expert Syst Appl. 2025;268(8):126360.1-126360.14. https:\/\/doi.org\/10.1016\/j.eswa.2024.126360.","journal-title":"Expert Syst Appl"},{"issue":"10","key":"1933_CR13","doi-asserted-by":"publisher","first-page":"128486.1","DOI":"10.1016\/j.eswa.2025.128486","volume":"291","author":"D Wang","year":"2025","unstructured":"Wang D, Pang W, Cao Z. A lightweight model LGCSPNet for sitting posture risk management applications. Expert Syst Appl. 2025;291(10):128486.1-128486.11. https:\/\/doi.org\/10.1016\/j.eswa.2025.128486.","journal-title":"Expert Syst Appl"},{"issue":"9","key":"1933_CR14","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.70108","volume":"42","author":"A Bustamante","year":"2025","unstructured":"Bustamante A, Belmonte LM, Pereira A, et al. Skeleton-based posture recognition for home care from virtual unmanned aerial vehicle. Expert Syst. 2025;42(9):e70108. https:\/\/doi.org\/10.1111\/exsy.70108.","journal-title":"Expert Syst"},{"issue":"2","key":"1933_CR15","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1007\/s00521-023-09040-8","volume":"36","author":"Q Linbo","year":"2024","unstructured":"Linbo Q, Hongqian W, Yonghong YP. DVC-Net: a new dual-view context-aware network for emotion recognition in the wild. Neural Comput Appl. 2024;36(2):653\u201365. https:\/\/doi.org\/10.1007\/s00521-023-09040-8.","journal-title":"Neural Comput Appl"},{"key":"1933_CR16","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2023.2175108","author":"YS Huang","year":"2023","unstructured":"Huang YS, Alhlffee MH. Improving face recognition by integrating decision forest into GAN. Appl Artif Intell. 2023. https:\/\/doi.org\/10.1080\/08839514.2023.2175108.","journal-title":"Appl Artif Intell"},{"issue":"1","key":"1933_CR17","doi-asserted-by":"publisher","DOI":"10.1002\/nem.2310","volume":"35","author":"V Rajyalakshmi","year":"2025","unstructured":"Rajyalakshmi V, Lakshmanna K. Sentinel guard pro: deploying cutting-edge FusionNet for unerring detection and enforcement of wrong parking incidents. Int J Netw Manag. 2025;35(1):e2310. https:\/\/doi.org\/10.1002\/nem.2310.","journal-title":"Int J Netw Manag"},{"key":"1933_CR18","doi-asserted-by":"publisher","DOI":"10.47852\/bonviewFSI52025321","volume":"1","author":"M Waqas","year":"2025","unstructured":"Waqas M, Naseem A. Artificial intelligence in sustainable industrial transformation: a comparative study of industry 4.0 and industry 5.0. FinTech Sustain Innov. 2025;1:A2. https:\/\/doi.org\/10.47852\/bonviewFSI52025321.","journal-title":"FinTech Sustain Innov"}],"container-title":["Discover Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-026-01933-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44163-026-01933-6","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-026-01933-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T04:36:25Z","timestamp":1788496585000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44163-026-01933-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,4]]},"references-count":18,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["1933"],"URL":"https:\/\/doi.org\/10.1007\/s44163-026-01933-6","relation":{},"ISSN":["2731-0809"],"issn-type":[{"value":"2731-0809","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,4]]},"assertion":[{"value":"27 March 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interest.","order":3,"name":"Ethics","label":"Competing interest","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"1043"}}