{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T23:06:43Z","timestamp":1772060803858,"version":"3.50.1"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,5,2]],"date-time":"2019-05-02T00:00:00Z","timestamp":1556755200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1007\/s12652-019-01301-6","type":"journal-article","created":{"date-parts":[[2019,5,2]],"date-time":"2019-05-02T08:05:12Z","timestamp":1556784312000},"page":"419-431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Skeleton-based comparison of throwing motion for handball players"],"prefix":"10.1007","volume":"11","author":[{"given":"Amani","family":"Elaoud","sequence":"first","affiliation":[]},{"given":"Walid","family":"Barhoumi","sequence":"additional","affiliation":[]},{"given":"Ezzeddine","family":"Zagrouba","sequence":"additional","affiliation":[]},{"given":"Brahim","family":"Agrebi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,2]]},"reference":[{"issue":"4","key":"1301_CR1","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1136\/bjsports-2012-091371","volume":"48","author":"GD Abrams","year":"2014","unstructured":"Abrams GD, Harris AH, Andriacchi TP, Safran MR (2014) Biomechanical analysis of three tennis serve types using a markerless system. Br J Sports Med 48(4):339\u2013342","journal-title":"Br J Sports Med"},{"issue":"4","key":"1301_CR2","doi-asserted-by":"publisher","first-page":"70","DOI":"10.3390\/electronics5040070","volume":"5","author":"WG Aguilar","year":"2016","unstructured":"Aguilar WG, Morales SG (2016) 3D environment mapping using the Kinect V2 and path planning based on RRT algorithms. Electronics 5(4):70","journal-title":"Electronics"},{"key":"1301_CR3","doi-asserted-by":"publisher","first-page":"e79","DOI":"10.1016\/j.jsams.2015.12.192","volume":"19","author":"J Alderson","year":"2015","unstructured":"Alderson J (2015) A markerless motion capture technique for sport performance analysis and injury prevention: toward a \u2018big data\u2019, machine learning future. J Sci Med Sport 19:e79","journal-title":"J Sci Med Sport"},{"issue":"7","key":"1301_CR4","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1007\/s11760-014-0630-y","volume":"9","author":"W Barhoumi","year":"2015","unstructured":"Barhoumi W (2015) Detection of highly articulated moving objects by using co-segmentation with application to athletic video sequences. Signal Image Video Process 9(7):1705\u20131715","journal-title":"Signal Image Video Process"},{"issue":"8","key":"1301_CR5","doi-asserted-by":"publisher","first-page":"e0160,490","DOI":"10.1371\/journal.pone.0160490","volume":"11","author":"GR Bernardina","year":"2016","unstructured":"Bernardina GR, Cerveri P, Barros RM, Marins JC, Silvatti AP (2016) Action sport cameras as an instrument to perform a 3D underwater motion analysis. PLoS One 11(8):e0160,490","journal-title":"PLoS One"},{"key":"1301_CR6","unstructured":"Berndt DJ, Clifford J (1994) Using dynamic time warping to find patterns in time series. In: KDD workshop, Seattle, WA, pp 359\u2013370"},{"issue":"1","key":"1301_CR7","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s12652-017-0632-z","volume":"10","author":"SB Bhorge","year":"2019","unstructured":"Bhorge SB, Manthalkar RR (2019) Recognition of vision-based activities of daily living using linear predictive coding of histogram of directional derivative. J Ambient Intell Human Comput 10(1):199\u2013214","journal-title":"J Ambient Intell Human Comput"},{"issue":"2","key":"1301_CR8","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/TMM.2015.2505089","volume":"18","author":"X Cai","year":"2016","unstructured":"Cai X, Zhou W, Wu L, Luo J, Li H (2016) Effective active skeleton representation for low latency human action recognition. IEEE Trans Multimedia 18(2):141\u2013154","journal-title":"IEEE Trans Multimedia"},{"issue":"3","key":"1301_CR9","doi-asserted-by":"publisher","first-page":"873","DOI":"10.3390\/s18030873","volume":"18","author":"V Camomilla","year":"2018","unstructured":"Camomilla V, Bergamini E, Fantozzi S, Vannozzi G (2018) Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: a systematic review. Sensors 18(3):873","journal-title":"Sensors"},{"key":"1301_CR10","first-page":"10","volume":"16","author":"P Carey","year":"2017","unstructured":"Carey P, Bennett S, Lasenby J, Purnell T (2017) Aerodynamic analysis via foreground segmentation. Electron Imaging Comput Vis Appl Sports Soc Imaging Sci Technol 16:10\u201314","journal-title":"Electron Imaging Comput Vis Appl Sports Soc Imaging Sci Technol"},{"key":"1301_CR11","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1007\/11744085_29","volume-title":"Computer Vision \u2013 ECCV 2006","author":"Hwann-Tzong Chen","year":"2006","unstructured":"Chen HT, Liu TL, Fuh CS (2006) Segmenting highly articulated video objects with weak-prior random forests. In: European conference on computer vision, Springer, Berlin, pp 373\u2013385"},{"issue":"6","key":"1301_CR12","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1007\/s12652-016-0415-y","volume":"8","author":"B Chikhaoui","year":"2017","unstructured":"Chikhaoui B, Ye B, Mihailidis A (2017) Feature-level combination of skeleton joints and body parts for accurate aggressive and agitated behavior recognition. J Ambient Intell Human Comput 8(6):957\u2013976","journal-title":"J Ambient Intell Human Comput"},{"key":"1301_CR13","doi-asserted-by":"crossref","unstructured":"Choi J, Jeon WJ, Lee SC (2008) Spatio-temporal pyramid matching for sports videos. In: Proceedings of the 1st ACM international conference on Multimedia information retrieval, ACM, pp 291\u2013297","DOI":"10.1145\/1460096.1460144"},{"issue":"3","key":"1301_CR14","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1016\/j.gaitpost.2012.03.033","volume":"36","author":"RA Clark","year":"2012","unstructured":"Clark RA, Pua YH, Fortin K, Ritchie C, Webster KE, Denehy L, Bryant AL (2012) Validity of the microsoft Kinect for assessment of postural control. Gait Posture 36(3):372\u2013377","journal-title":"Gait Posture"},{"issue":"2","key":"1301_CR15","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.gaitpost.2015.03.005","volume":"42","author":"RA Clark","year":"2015","unstructured":"Clark RA, Pua YH, Oliveira CC, Bower KJ, Thilarajah S, McGaw R, Hasanki K, Mentiplay BF (2015) Reliability and concurrent validity of the Microsoft Xbox One Kinect for assessment of standing balance and postural control. Gait Posture 42(2):210\u2013213","journal-title":"Gait Posture"},{"issue":"4","key":"1301_CR16","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1080\/02640414.2015.1050599","volume":"34","author":"J Cockcroft","year":"2016","unstructured":"Cockcroft J, Van Den Heever D (2016) A descriptive study of step alignment and foot positioning relative to the tee by professional rugby union goal-kickers. J Sports Sci 34(4):321\u2013329","journal-title":"J Sports Sci"},{"key":"1301_CR17","doi-asserted-by":"publisher","first-page":"17292","DOI":"10.1109\/ACCESS.2018.2811720","volume":"6","author":"JS Da Cunha Neto","year":"2018","unstructured":"Da Cunha Neto JS, Rebou\u00e7as\u00a0Filho PP, da\u00a0Silva GPF, da\u00a0Cunha\u00a0Olegario NB, Duarte JBF, de\u00a0Albuquerque VHC (2018) Dynamic evaluation and treatment of the movement amplitude using Kinect sensor. IEEE Access 6:17292\u201317305","journal-title":"IEEE Access"},{"key":"1301_CR18","unstructured":"Du Y, Wang W, Wang L (2015) Hierarchical recurrent neural network for skeleton based action recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1110\u20131118"},{"issue":"1","key":"1301_CR19","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1080\/14763141.2015.1123766","volume":"15","author":"M Eltoukhy","year":"2016","unstructured":"Eltoukhy M, Kelly A, Kim CY, Jun HP, Campbell R, Kuenze C (2016) Validation of the microsoft Kinect\u00ae camera system for measurement of lower extremity jump landing and squatting kinematics. Sports Biomech 15(1):89\u2013102","journal-title":"Sports Biomech"},{"key":"1301_CR20","doi-asserted-by":"crossref","unstructured":"Fern\u00e0ndez-Baena A, Sus\u00edn A, Lligadas X (2012) Biomechanical validation of upper-body and lower-body joint movements of kinect motion capture data for rehabilitation treatments. In: Intelligent networking and collaborative systems (INCoS), 2012 4th international conference on, IEEE, pp 656\u2013661","DOI":"10.1109\/iNCoS.2012.66"},{"key":"1301_CR21","doi-asserted-by":"publisher","first-page":"738","DOI":"10.1007\/978-3-642-33783-3_53","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Varun Ganapathi","year":"2012","unstructured":"Ganapathi V, Plagemann C, Koller D, Thrun S (2012) Real-time human pose tracking from range data. In: European conference on computer vision, Springer, Berlin, pp 738\u2013751"},{"issue":"3","key":"1301_CR22","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1080\/14763141.2017.1353129","volume":"17","author":"J Grigg","year":"2018","unstructured":"Grigg J, Haakonssen E, Rathbone E, Orr R, Keogh JW (2018) The validity and intra-tester reliability of markerless motion capture to analyse kinematics of the bmx supercross gate start. Sports Biomech 17(3):383\u2013401","journal-title":"Sports Biomech"},{"issue":"5","key":"1301_CR23","doi-asserted-by":"publisher","first-page":"1318","DOI":"10.1109\/TCYB.2013.2265378","volume":"43","author":"J Han","year":"2013","unstructured":"Han J, Shao L, Xu D, Shotton J (2013) Enhanced computer vision with microsoft kinect sensor: a review. IEEE Trans Cybern 43(5):1318\u20131334","journal-title":"IEEE Trans Cybern"},{"key":"1301_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01239-9","author":"J Imran","year":"2019","unstructured":"Imran J, Raman B (2019) Evaluating fusion of RGB-D and inertial sensors for multimodal human action recognition. J Ambient Intell Human Comput. \nhttps:\/\/doi.org\/10.1007\/s12652-019-01239-9","journal-title":"J Ambient Intell Human Comput"},{"issue":"11","key":"1301_CR25","doi-asserted-by":"publisher","first-page":"349","DOI":"10.3390\/ijgi6110349","volume":"6","author":"J Jiao","year":"2017","unstructured":"Jiao J, Yuan L, Tang W, Deng Z, Wu Q (2017) A post-rectification approach of depth images of Kinect V2 for 3D reconstruction of indoor scenes. ISPRS Int J Geo Inf 6(11):349","journal-title":"ISPRS Int J Geo Inf"},{"key":"1301_CR26","doi-asserted-by":"crossref","unstructured":"Karpathy A, Toderici G, Shetty S, Leung T, Sukthankar R, Fei-Fei L (2014) Large-scale video classification with convolutional neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1725\u20131732","DOI":"10.1109\/CVPR.2014.223"},{"issue":"23","key":"1301_CR27","doi-asserted-by":"publisher","first-page":"31199","DOI":"10.1007\/s11042-018-6068-4","volume":"77","author":"Y Kim","year":"2018","unstructured":"Kim Y, Kim D (2018) Real-time dance evaluation by markerless human pose estimation. Multimedia Tools Appl 77(23):31199\u201331220","journal-title":"Multimedia Tools Appl"},{"key":"1301_CR28","doi-asserted-by":"crossref","unstructured":"Kitani KM, Okabe T, Sato Y, Sugimoto A (2011) Fast unsupervised ego-action learning for first-person sports videos. In: Computer vision and pattern recognition (CVPR), IEEE conference on, IEEE, pp 3241\u20133248","DOI":"10.1109\/CVPR.2011.5995406"},{"issue":"11","key":"1301_CR29","doi-asserted-by":"publisher","first-page":"13643","DOI":"10.1007\/s11042-017-4979-0","volume":"77","author":"Y Kong","year":"2017","unstructured":"Kong Y, Wei Z, Huang S (2017) Automatic analysis of complex athlete techniques in broadcast taekwondo video. Multimedia Tools Appl 77(11):13643\u201313660","journal-title":"Multimedia Tools Appl"},{"key":"1301_CR31","doi-asserted-by":"crossref","unstructured":"Li W, Zhang Z, Liu Z (2010) Action recognition based on a bag of 3d points. In: Computer vision and pattern recognition workshops (CVPRW), 2010 IEEE computer society conference on, IEEE, pp 9\u201314","DOI":"10.1109\/CVPRW.2010.5543273"},{"issue":"4","key":"1301_CR32","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1080\/026404100364983","volume":"18","author":"R Marshall","year":"2000","unstructured":"Marshall R, Elliott B (2000) Long-axis rotation: the missing link in proximal-to-distal segmental sequencing. J Sports Sci 18(4):247\u2013254","journal-title":"J Sports Sci"},{"issue":"1","key":"1301_CR33","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1037\/0033-2909.113.1.181","volume":"113","author":"SE Maxwell","year":"1993","unstructured":"Maxwell SE, Delaney HD (1993) Bivariate median splits and spurious statistical significance. Psychol Bull 113(1):181","journal-title":"Psychol Bull"},{"key":"1301_CR34","doi-asserted-by":"crossref","unstructured":"Munaro M, Basso A, Fossati A, Van\u00a0Gool L, Menegatti E (2014) 3D reconstruction of freely moving persons for re-identification with a depth sensor. In: Robotics and automation (ICRA), IEEE international conference on, IEEE, pp 4512\u20134519","DOI":"10.1109\/ICRA.2014.6907518"},{"issue":"14","key":"1301_CR35","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1080\/02640414.2011.599038","volume":"29","author":"Y Nagano","year":"2011","unstructured":"Nagano Y, Ida H, Akai M, Fukubayashi T (2011) Relationship between three-dimensional kinematics of knee and trunk motion during shuttle run cutting. J Sports Sci 29(14):1525\u20131534","journal-title":"J Sports Sci"},{"issue":"8","key":"1301_CR36","doi-asserted-by":"publisher","first-page":"2000","DOI":"10.1109\/TMM.2018.2794265","volume":"20","author":"A Tejero-de Pablos","year":"2018","unstructured":"Tejero-de Pablos A, Nakashima Y, Sato T, Yokoya N, Linna M, Rahtu E (2018) Summarization of user-generated sports video by using deep action recognition features. IEEE Trans Multimedia 20(8):2000\u20132011","journal-title":"IEEE Trans Multimedia"},{"key":"1301_CR37","unstructured":"Pansiot J (2009) Markerless visual tracking and motion analysis for sports monitoring. PhD thesis, Imperial College London"},{"key":"1301_CR38","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1007\/978-3-319-04114-8_40","volume-title":"MultiMedia Modeling","author":"Georgios Th. Papadopoulos","year":"2014","unstructured":"Papadopoulos GT, Axenopoulos A, Daras P (2014) Real-time skeleton-tracking-based human action recognition using kinect data. In: International conference on multimedia modeling, Springer, Berlin, pp 473\u2013483"},{"issue":"5","key":"1301_CR39","doi-asserted-by":"publisher","first-page":"1497","DOI":"10.1007\/s12652-017-0571-8","volume":"9","author":"H Pazhoumand-Dar","year":"2018","unstructured":"Pazhoumand-Dar H (2018) Fuzzy association rule mining for recognising daily activities using kinect sensors and a single power meter. J Ambient Intell Human Comput 9(5):1497\u20131515","journal-title":"J Ambient Intell Human Comput"},{"key":"1301_CR40","unstructured":"Pers J, Bon M, Vuckovic G (2006) Cvbase 06 dataset. In: Proceedings of workshop on computer vision based analysis in sport environment (ECCV)"},{"key":"1301_CR41","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.patcog.2015.11.019","volume":"53","author":"LL Presti","year":"2016","unstructured":"Presti LL, La Cascia M (2016) 3d skeleton-based human action classification: a survey. Pattern Recognit 53:130\u2013147","journal-title":"Pattern Recognit"},{"key":"1301_CR42","doi-asserted-by":"crossref","unstructured":"Rodriguez MD, Ahmed J, Shah M (2008) Action mach a spatio-temporal maximum average correlation height filter for action recognition. In: Computer vision and pattern recognition, CVPR, IEEE conference on, IEEE, pp 1\u20138","DOI":"10.1109\/CVPR.2008.4587727"},{"key":"1301_CR43","unstructured":"Sabale AS, Vaidya YM (2016) Accuracy measurement of depth using kinect sensor. In: Advances in signal processing (CASP), conference on, IEEE, pp 155\u2013159"},{"key":"1301_CR44","doi-asserted-by":"crossref","unstructured":"Sharaf A, Torki M, Hussein ME, El-Saban M (2015) Real-time multi-scale action detection from 3D skeleton data. In: IEEE winter conference on applications of computer vision (WACV), IEEE, pp 998\u20131005","DOI":"10.1109\/WACV.2015.138"},{"key":"1301_CR45","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.patcog.2016.07.031","volume":"62","author":"S Singh","year":"2017","unstructured":"Singh S, Arora C, Jawahar C (2017) Trajectory aligned features for first person action recognition. Pattern Recognit 62:45\u201355","journal-title":"Pattern Recognit"},{"issue":"9","key":"1301_CR46","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1080\/02640410902960502","volume":"27","author":"R Van den Tillaar","year":"2009","unstructured":"Van den Tillaar R, Ettema G (2009) Is there a proximal-to-distal sequence in overarm throwing in team handball? J Sports Sci 27(9):949\u2013955","journal-title":"J Sports Sci"},{"issue":"6","key":"1301_CR30","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1080\/17461391.2018.1463397","volume":"18","author":"E Van der Kruk","year":"2018","unstructured":"Van der Kruk E, Reijne MM (2018) Accuracy of human motion capture systems for sport applications; state-of-the-art review. Eur J Sport Sci 18(6):806\u2013819","journal-title":"Eur J Sport Sci"},{"key":"1301_CR47","doi-asserted-by":"crossref","unstructured":"Vemulapalli R, Arrate F, Chellappa R (2014) Human action recognition by representing 3D skeletons as points in a lie group. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 588\u2013595","DOI":"10.1109\/CVPR.2014.82"},{"issue":"1","key":"1301_CR48","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1080\/02640414.2011.617773","volume":"30","author":"H Wagner","year":"2012","unstructured":"Wagner H, Pfusterschmied J, Von Duvillard SP, M\u00fcller E (2012) Skill-dependent proximal-to-distal sequence in team-handball throwing. J Sports Sci 30(1):21\u201329","journal-title":"J Sports Sci"},{"key":"1301_CR49","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.cviu.2014.06.014","volume":"127","author":"C Wolf","year":"2014","unstructured":"Wolf C, Lombardi E, Mille J, Celiktutan O, Jiu M, Dogan E, Eren G, Baccouche M, Dellandr\u00e9a E, Bichot CE et al (2014) Evaluation of video activity localizations integrating quality and quantity measurements. Comput Vis Image Understand 127:14\u201330","journal-title":"Comput Vis Image Understand"},{"key":"1301_CR50","doi-asserted-by":"crossref","unstructured":"Xia L, Chen CC, Aggarwal JK (2012) View invariant human action recognition using histograms of 3D joints. In: Computer vision and pattern recognition workshops (CVPRW), 2012 IEEE computer society conference on, IEEE, pp 20\u201327","DOI":"10.1109\/CVPRW.2012.6239233"},{"issue":"1","key":"1301_CR51","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.jvcir.2013.03.001","volume":"25","author":"X Yang","year":"2014","unstructured":"Yang X, Tian Y (2014) Effective 3D action recognition using eigenjoints. J Vis Commun Image Represent 25(1):2\u201311","journal-title":"J Vis Commun Image Represent"},{"key":"1301_CR52","doi-asserted-by":"crossref","unstructured":"Zennaro S, Munaro M, Milani S, Zanuttigh P, Bernardi A, Ghidoni S, Menegatti E (2015) Performance evaluation of the 1st and 2nd generation kinect for multimedia applications. In: Multimedia and expo (ICME), IEEE international conference on, IEEE, pp 1\u20136","DOI":"10.1109\/ICME.2015.7177380"},{"issue":"1","key":"1301_CR53","doi-asserted-by":"publisher","first-page":"138","DOI":"10.3991\/ijet.v13i01.7773","volume":"13","author":"M Zhang","year":"2018","unstructured":"Zhang M, Zhang Z, Chang Y, Aziz ES, Esche S, Chassapis C (2018) Recent developments in game-based virtual reality educational laboratories using the microsoft kinect. Int J Emerg Technol Learn (IJET) 13(1):138\u2013159","journal-title":"Int J Emerg Technol Learn (IJET)"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01301-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12652-019-01301-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01301-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,30]],"date-time":"2020-04-30T23:25:00Z","timestamp":1588289100000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12652-019-01301-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,2]]},"references-count":53,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["1301"],"URL":"https:\/\/doi.org\/10.1007\/s12652-019-01301-6","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,2]]},"assertion":[{"value":"5 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 May 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}