{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:22:59Z","timestamp":1742912579932,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031764516"},{"type":"electronic","value":"9783031764523"}],"license":[{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-76452-3_27","type":"book-chapter","created":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T16:46:49Z","timestamp":1731343609000},"page":"285-293","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Motion Analysis System for\u00a0Danger Prediction During Soldering Process"],"prefix":"10.1007","author":[{"given":"Kyohei","family":"Wakabayashi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuya","family":"Oda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonard","family":"Barolli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,12]]},"reference":[{"issue":"10","key":"27_CR1","doi-asserted-by":"publisher","first-page":"8335","DOI":"10.1109\/TIM.2020.2988744","volume":"69","author":"P Arpaia","year":"2020","unstructured":"Arpaia, P., et al.: A wearable EEG instrument for real-time frontal asymmetry monitoring in worker stress analysis. IEEE Trans. Instrum. Meas. 69(10), 8335\u20138343 (2020). https:\/\/doi.org\/10.1109\/TIM.2020.2988744","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"27_CR2","doi-asserted-by":"publisher","unstructured":"Singh, N., et al.: IoT enabled HELMET to safeguard the health of mine workers. Comput. Commun. 193, 1\u20139 (2022). https:\/\/doi.org\/10.1016\/j.comcom.2022.06.032, September","DOI":"10.1016\/j.comcom.2022.06.032"},{"key":"27_CR3","doi-asserted-by":"publisher","first-page":"105485","DOI":"10.1016\/j.cie.2018.10.046","volume":"139","author":"M Bortolini","year":"2020","unstructured":"Bortolini, M., et al.: Motion analysis system (MAS) for production and ergonomics assessment in the manufacturing processes. Comput. Ind. Eng. 139, 105485 (2020). https:\/\/doi.org\/10.1016\/j.cie.2018.10.046","journal-title":"Comput. Ind. Eng."},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Kocabas, M., et al.: Vibe: video inference for human body pose and shape estimation. In: Proceedings of The IEEE\/CVF Conference on Computer Vision and Pattern Recognition (IEEE\/CVF CVPR-2020), pp. 5253\u20135263 (2020)","DOI":"10.1109\/CVPR42600.2020.00530"},{"issue":"16","key":"27_CR5","doi-asserted-by":"publisher","first-page":"2100218","DOI":"10.1002\/adma.202100218","volume":"33","author":"L Lu","year":"2021","unstructured":"Lu, L., et al.: Flexible noncontact sensing for human-machine interaction. Adv. Mater. 33(16), 2100218 (2021). https:\/\/doi.org\/10.1002\/adma.202100218","journal-title":"Adv. Mater."},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Toshev, A., Szegedy, C.: DeepPose: human pose estimation via deep neural networks. In: Proceedings of The 27-th IEEE\/CVF Conference on Computer Vision and Pattern Recognition (IEEE\/CVF CVPR-2014), pp. 1653\u20131660 (2014)","DOI":"10.1109\/CVPR.2014.214"},{"issue":"6","key":"27_CR7","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1109\/21.44063","volume":"19","author":"R Haralick","year":"1989","unstructured":"Haralick, R., et al.: Pose estimation from corresponding point data. IEEE Trans. Syst. Man Cybern. 19(6), 1426\u20131446 (1989). https:\/\/doi.org\/10.1109\/21.44063","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Fang, H., et al.: Rmpe: regional multi-person pose estimation. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV-2017), pp. 2334\u20132343 (2017)","DOI":"10.1109\/ICCV.2017.256"},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Xiao, B., et al.: Simple baselines for human pose estimation and tracking. In: Proceedings of the European conference on computer vision (ECCV-2018), pp. 466\u2013481 (2018)","DOI":"10.1007\/978-3-030-01231-1_29"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Martinez, J., et al.: A simple yet effective baseline for 3d human pose estimation. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV-2017), pp. 2640\u20132649 (2017)","DOI":"10.1109\/ICCV.2017.288"},{"issue":"1","key":"27_CR11","doi-asserted-by":"publisher","first-page":"148","DOI":"10.3390\/sym14010148","volume":"14","author":"N Andriyanov","year":"2022","unstructured":"Andriyanov, N., et al.: Intelligent system for estimation of the spatial position of apples based on YOLOv3 and real sense depth camera D415. Symmetry 14(1), 148 (2022). https:\/\/doi.org\/10.3390\/sym14010148","journal-title":"Symmetry"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Yang, D., et al.: Research of target detection and distance measurement technology based on YOLOv5 and depth camera. In: Proceedings of the 4th International Conference on Communications, Information System and Computer Engineering (CISCE-2022), pp. 346\u2013349 (2022)","DOI":"10.1109\/CISCE55963.2022.9851025"},{"key":"27_CR13","unstructured":"Lugaresi, C., et al.: MediaPipe: a framework for building perception pipelines, arXiv preprint\u00a0arXiv:1906.08172 (2019)"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Micilotta, A. S., et al.: Real-time upper body detection and 3D pose estimation in monoscopic images In: European Conference on Computer Vision (ECCV-2006), pp. 139\u2013150 (2006)","DOI":"10.1007\/11744078_11"},{"issue":"8","key":"27_CR15","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., et al.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997). https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735","journal-title":"Neural Comput."},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Cui, Q., et al.: Learning dynamic relationships for 3d human motion prediction. In: Proceedings of the 27-th IEEE\/CVF Conference on Computer Vision and Pattern Recognition (IEEE\/CVF CVPR-2020), pp. 6519\u20136527 (2020)","DOI":"10.1109\/CVPR42600.2020.00655"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances on Broad-Band Wireless Computing, Communication and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-76452-3_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T17:05:59Z","timestamp":1731344759000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-76452-3_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,12]]},"ISBN":["9783031764516","9783031764523"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-76452-3_27","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2024,11,12]]},"assertion":[{"value":"12 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BWCCA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Broadband and Wireless Computing, Communication and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Benedetto del Tronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bwcca2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/bwcca\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}