{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T21:13:15Z","timestamp":1760044395485,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031253119"},{"type":"electronic","value":"9783031253126"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-25312-6_59","type":"book-chapter","created":{"date-parts":[[2023,2,9]],"date-time":"2023-02-09T18:47:24Z","timestamp":1675968444000},"page":"504-511","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Reference Datasets for Analysis of Traditional Japanese and German Martial Arts"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0983-2228","authenticated-orcid":false,"given":"Konrad","family":"Kluwak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4889-0930","authenticated-orcid":false,"given":"Ryszard","family":"Klempous","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9686-4019","authenticated-orcid":false,"given":"Atsushi","family":"Ito","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8393-1585","authenticated-orcid":false,"given":"Tomasz","family":"G\u00f3rski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3748-9255","authenticated-orcid":false,"given":"Jan","family":"Nikodem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4679-2667","authenticated-orcid":false,"given":"Konrad","family":"Wojciechowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7348-4128","authenticated-orcid":false,"given":"Jerzy","family":"Rozenblit","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4148-4817","authenticated-orcid":false,"given":"Grzegorz","family":"Borowik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2816-7510","authenticated-orcid":false,"given":"Zenon","family":"Chaczko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1868-8603","authenticated-orcid":false,"given":"Wojciech","family":"Bo\u017cejko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4609-106X","authenticated-orcid":false,"given":"Marek","family":"Kulbacki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,10]]},"reference":[{"issue":"3","key":"59_CR1","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1006\/cviu.1998.0744","volume":"73","author":"JK Aggarwal","year":"1999","unstructured":"Aggarwal, J.K., Cai, Q.: Human motion analysis: a review. Comput. Vis. Image Underst. 73(3), 428\u2013440 (1999)","journal-title":"Comput. Vis. Image Underst."},{"key":"59_CR2","volume-title":"Understanding Fencing: The Unity of Theory and Practice","author":"Z Czajkowski","year":"2005","unstructured":"Czajkowski, Z.: Understanding Fencing: The Unity of Theory and Practice. SKA Swordplay Books, New York (2005)"},{"issue":"2","key":"59_CR3","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1515\/apd-2017-0011","volume":"5","author":"J Gassmann","year":"2017","unstructured":"Gassmann, J., Gassmann, J., Le Coultre, D.: Fighting with the longsword: modern-day HEMA practices. Acta Periodica Duellatorum 5(2), 115\u2013133 (2017)","journal-title":"Acta Periodica Duellatorum"},{"key":"59_CR4","volume-title":"The Medieval Longsword","author":"N Grant","year":"2020","unstructured":"Grant, N.: The Medieval Longsword. Bloomsbury Publishing, Oxford (2020)"},{"doi-asserted-by":"crossref","unstructured":"Grontman, A., Horyza, L., Koczan, K., Marzec, M., Smiertka, M., Trybala, M.: Analysis of sword fencing training evaluation possibilities using motion capture techniques. In: 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), pp. 325\u2013330 (2020)","key":"59_CR5","DOI":"10.1109\/SoSE50414.2020.9130469"},{"doi-asserted-by":"crossref","unstructured":"Hu, W., Xie, N., Li, L., Zeng, X., Maybank, S.: A survey on visual content-based video indexing and retrieval. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 41(6), 797\u2013819 (2011)","key":"59_CR6","DOI":"10.1109\/TSMCC.2011.2109710"},{"key":"59_CR7","doi-asserted-by":"publisher","DOI":"10.4324\/9780080877945","volume-title":"MoCap for Artists: Workflow and Techniques for Motion Capture","author":"M Kitagawa","year":"2020","unstructured":"Kitagawa, M., Windsor, B.: MoCap for Artists: Workflow and Techniques for Motion Capture. CRC Press, Boca Raton (2020)"},{"doi-asserted-by":"crossref","unstructured":"Klempous, R., et al.: Neural networks classification for training of five German longsword mastercuts-a novel application of motion capture: analysis of performance of sword fencing in the historical European martial arts (HEMA) domain. In: 2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI), pp. 000137\u2013000142. IEEE (2021)","key":"59_CR8","DOI":"10.1109\/CINTI53070.2021.9668598"},{"unstructured":"Kluwak, K.J., Klempous, R.: Baza danych ruchu cz\u0142owieka: 5 mistrzowskich uderze\u0144 d\u0142ugim mieczem (5MUDM). Technical report 15, Politechnika Wroc\u0142awska, Wroc\u0142aw (2020)","key":"59_CR9"},{"key":"59_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1007\/978-3-319-05458-2_57","volume-title":"Intelligent Information and Database Systems","author":"M Kulbacki","year":"2014","unstructured":"Kulbacki, M., Segen, J., Nowacki, J.P.: 4GAIT: synchronized MoCap, video, GRF and EMG datasets: acquisition, management and applications. In: Nguyen, N.T., Attachoo, B., Trawi\u0144ski, B., Somboonviwat, K. (eds.) ACIIDS 2014. LNCS (LNAI), vol. 8398, pp. 555\u2013564. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-05458-2_57"},{"doi-asserted-by":"crossref","unstructured":"Malawski, F., Kwolek, B.: Real-time action detection and analysis in fencing footwork. In: 2017 40th International Conference on Telecommunications and Signal Processing (TSP), pp. 520\u2013523. IEEE (2017)","key":"59_CR11","DOI":"10.1109\/TSP.2017.8076041"},{"key":"59_CR12","volume-title":"Japanese Sword Fighting: Secrets of the Samurai","author":"H Masaaki","year":"2019","unstructured":"Masaaki, H.: Japanese Sword Fighting: Secrets of the Samurai. Nova Science Publishers, Inc., New York (2019)"},{"unstructured":"Meyer, J.: Gr\u00fcndtliche Beschreibung der Kunst des Fechtens. https:\/\/www.wiktenauer.com\/wiki\/Gr%C3%BCndtliche_Beschreibung_der_Kunst_des_Fechtens_(Joachim _Meyer)","key":"59_CR13"},{"doi-asserted-by":"crossref","unstructured":"Noiumkar, S., Tirakoat, S.: Use of optical motion capture in sports science: a case study of golf swing. In: 2013 International Conference on Informatics and Creative Multimedia, pp. 310\u2013313. IEEE (2013)","key":"59_CR14","DOI":"10.1109\/ICICM.2013.58"},{"issue":"1","key":"59_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10462-016-9514-6","volume":"49","author":"C Prakash","year":"2018","unstructured":"Prakash, C., Kumar, R., Mittal, N.: Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges. Artif. Intell. Rev. 49(1), 1\u201340 (2018)","journal-title":"Artif. Intell. Rev."},{"unstructured":"Sani, N.A., Hendrawan, M.A., Samopa, F.: Development of basic taekwondo training system application based on real time motion capture using Microsoft Kinect. In: ISICO 2015 (2015)","key":"59_CR16"},{"key":"59_CR17","volume-title":"Practice Drills for Japanese Swordsmanship","author":"N Suino","year":"2008","unstructured":"Suino, N.: Practice Drills for Japanese Swordsmanship. Weatherhill, New York (2008)"},{"key":"59_CR18","volume-title":"The Fighting Man\u2019s Guide to German Longsword Combat","author":"MG Thomas","year":"2008","unstructured":"Thomas, M.G.: The Fighting Man\u2019s Guide to German Longsword Combat. SwordWorks, Timbo (2008)"},{"unstructured":"Tobler, C.: Fighting with the German Longsword-Revised and Expanded Edition. eBook Partnership (2015)","key":"59_CR19"},{"doi-asserted-by":"crossref","unstructured":"Wan Idris, W.M.R., Rafi, A., Bidin, A., Jamal, A.A., Fadzli, S.A.: A systematic survey of martial art using motion capture technologies: the importance of extrinsic feedback. Multimed. Tools Appl. 78(8), 10113\u201310140 (2019)","key":"59_CR20","DOI":"10.1007\/s11042-018-6624-y"},{"issue":"4","key":"59_CR21","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1016\/S1440-2440(00)80011-0","volume":"3","author":"L Williams","year":"2000","unstructured":"Williams, L., Walmsley, A.: Response timing and muscular coordination in fencing: a comparison of elite and novice fencers. J. Sci. Med. Sport 3(4), 460\u2013475 (2000)","journal-title":"J. Sci. Med. Sport"},{"key":"59_CR22","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.imavis.2017.02.002","volume":"61","author":"W Zhang","year":"2017","unstructured":"Zhang, W., Liu, Z., Zhou, L., Leung, H., Chan, A.B.: Martial arts, dancing and sports dataset: A challenging stereo and multi-view dataset for 3D human pose estimation. Image Vis. Comput. 61, 22\u201339 (2017)","journal-title":"Image Vis. Comput."}],"container-title":["Lecture Notes in Computer Science","Computer Aided Systems Theory \u2013 EUROCAST 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-25312-6_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,9]],"date-time":"2023-02-09T19:00:48Z","timestamp":1675969248000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25312-6_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031253119","9783031253126"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25312-6_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EUROCAST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Aided Systems Theory","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Las Palmas de Gran Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 February 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 February 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eurocast2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eurocast2022.fulp.ulpgc.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}