{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T16:19:52Z","timestamp":1783095592691,"version":"3.54.6"},"reference-count":51,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T00:00:00Z","timestamp":1640044800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/doi.org\/10.1080\/policies-text-data-mining"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Applied Artificial Intelligence"],"published-print":{"date-parts":[[2022,12,31]]},"DOI":"10.1080\/08839514.2021.2014191","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T03:40:03Z","timestamp":1640058003000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":22,"title":["Hand Gesture Recognition of Methods-Time Measurement-1 Motions in Manual Assembly Tasks Using Graph Convolutional Networks"],"prefix":"10.1080","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1466-3206","authenticated-orcid":false,"given":"Alexander","family":"Riedel","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Ernst-Abbe University of Applied Sciences","place":["Jena, Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nico","family":"Brehm","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Ernst-Abbe University of Applied Sciences","place":["Jena, Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Pfeifroth","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Ernst-Abbe University of Applied Sciences","place":["Jena, Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2021,12,21]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2016.07.048"},{"key":"e_1_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.1.2826.1927"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2003.1261552"},{"key":"e_1_3_2_5_1","volume-title":"Handbuch Industrial Engineering: Produktivit\u00e4tsmanagement Mit MTM","author":"Bokranz R.","year":"2012","unstructured":"Bokranz, R., and K. Landau. 2012. Handbuch Industrial Engineering: Produktivit\u00e4tsmanagement Mit MTM. 2nd ed. Stuttgart: Sch\u00e4ffer-Poeschel.","edition":"2"},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2015.01.392"},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929257"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0736-5845(00)00013-2"},{"key":"e_1_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2003.1245743"},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01491-y"},{"key":"e_1_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJPPM-08-2019-0404"},{"key":"e_1_3_2_12_1","unstructured":"Foret P. A. Kleiner H. Mobahi and B. Neyshabur. 2020. Sharpness-Aware minimization for efficiently improving generalization October. http:\/\/arxiv.org\/abs\/2010.01412."},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/0169-8141(89)90025-5"},{"key":"e_1_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0097-8493(99)00047-3"},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_16_1","unstructured":"Keskar N. S. D. Mudigere J. Nocedal M. Smelyanskiy and P. T. Peter Tang. 2016. On large-batch training for deep learning: generalization gap and sharp minima September. http:\/\/arxiv.org\/abs\/1609.04836."},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01225"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02771-0_64"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-019-0476-x"},{"key":"e_1_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.391"},{"key":"e_1_3_2_22_1","unstructured":"Liu L. Y.-C. Lin and J. Reid. 2019. Improving the performance of the LSTM and HMM model via hybridization. July. http:\/\/arxiv.org\/abs\/1907.04670."},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2015.12.068"},{"key":"e_1_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2019.02.003"},{"key":"e_1_3_2_25_1","volume-title":"Methods-Time Measurement","author":"Maynard H. B.","year":"1948","unstructured":"Maynard, H. B., G. J. Stegemerten, and J. L. Schwab. 1948. Methods-Time Measurement. Methods-Time Measurement. New York, NY, US: McGraw-Hill."},{"key":"e_1_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20195687"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00580"},{"key":"e_1_3_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3063752"},{"key":"e_1_3_2_29_1","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Paszke A.","year":"2019","unstructured":"Paszke, A., S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., K\u00f6pf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., Chintala, S. 2019. PyTorch: An imperative style, high-performance deep learning library. Advances in Neural Information Processing Systems , edited by H. Wallach, H. Larochelle, and A. Beygelzimer, F d\\textquotesingle Alch\u00e9d\\textquotesingle Alch\u00e9Buc, E Fox, and R Garnett. Vol. 32. Curran Associates, Inc., Vancouver, Canada. https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/bdbca288fee7f92f2bfa9f7012727740-Paper.pdf."},{"key":"e_1_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2006.07.002"},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1530469"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-015-7883-7"},{"key":"e_1_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10055-015-0261-9"},{"key":"e_1_3_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2020.2984181"},{"key":"e_1_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"e_1_3_2_36_1","unstructured":"Roetenberg D. H. Luinge and P. J. Slycke. 2009. Xsens MVN: Full 6DOF human motion tracking using miniature inertial sensors. In."},{"key":"e_1_3_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482014"},{"key":"e_1_3_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-015-1168-8"},{"key":"e_1_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2016.06.007"},{"key":"e_1_3_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CRV.2016.25"},{"key":"e_1_3_2_41_1","unstructured":"Shi L. Y. Zhang J. Cheng and L. Hanqing 2018. Two-stream adaptive graph convolutional networks for skeleton-based action recognition. May. http:\/\/arxiv.org\/abs\/1805.07694."},{"key":"e_1_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-009-0289-3"},{"key":"e_1_3_2_43_1","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2020.1713886"},{"key":"e_1_3_2_44_1","unstructured":"Tadayon M. and G. Pottie. 2020. Comparative analysis of the hidden Markov model and LSTM: A simulative approach. August. http:\/\/arxiv.org\/abs\/2008.03825."},{"key":"e_1_3_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00675"},{"key":"e_1_3_2_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2016.03.005"},{"key":"e_1_3_2_47_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"e_1_3_2_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2019.03.037"},{"key":"e_1_3_2_49_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780429326424"},{"key":"e_1_3_2_50_1","unstructured":"Zhang F. V. Bazarevsky A. Vakunov A. Tkachenka G. Sung C.-L. Chang and M. Grundmann. 2020. MediaPipe Hands: On-device real-time hand tracking June. http:\/\/arxiv.org\/abs\/2006.10214."},{"key":"e_1_3_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.233"},{"key":"e_1_3_2_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2012.08.001"}],"container-title":["Applied Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/08839514.2021.2014191","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.tandfonline.com\/doi\/full-xml\/10.1080\/08839514.2021.2014191","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/08839514.2021.2014191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T15:34:39Z","timestamp":1783092879000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/08839514.2021.2014191"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,21]]},"references-count":51,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12,31]]}},"alternative-id":["10.1080\/08839514.2021.2014191"],"URL":"https:\/\/doi.org\/10.1080\/08839514.2021.2014191","relation":{},"ISSN":["0883-9514","1087-6545"],"issn-type":[{"value":"0883-9514","type":"print"},{"value":"1087-6545","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,21]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uaai20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uaai20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-07-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-11-25","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-11-30","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2014191"}}