{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T10:37:12Z","timestamp":1762252632463,"version":"3.41.0"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700090"},{"type":"electronic","value":"9783319700106"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70010-6_62","type":"book-chapter","created":{"date-parts":[[2017,10,28]],"date-time":"2017-10-28T01:02:51Z","timestamp":1509152571000},"page":"669-680","source":"Crossref","is-referenced-by-count":3,"title":["Body Matching Algorithm Using Normalize Dynamic Time Warping (NDTW) Skeleton Tracking for Traditional Dance Movement"],"prefix":"10.1007","author":[{"given":"A. S. A.","family":"Mohamed","sequence":"first","affiliation":[]},{"given":"P. S.","family":"Chingeng","sequence":"additional","affiliation":[]},{"given":"N. A.","family":"Mat Isa","sequence":"additional","affiliation":[]},{"given":"S. S.","family":"Surip","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,29]]},"reference":[{"key":"62_CR1","doi-asserted-by":"crossref","unstructured":"Alexiadis, D.S., Kelly, P., Daras, P., O\u2019Connor, N.E., Boubekeur, T., Moussa, M.B.: Evaluating a dancer\u2019s performance using kinect-based skeleton tracking. In: ACM International Conference on Multimedia, pp. 659\u2013662. ACM, New York (2011)","DOI":"10.1145\/2072298.2072412"},{"key":"62_CR2","unstructured":"Brodd-Reijer, C.: Dance quantification with kinect: adjusting music volume by using depth data from a kinect sensor (2012)"},{"key":"62_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1007\/978-3-642-33275-3_29","volume-title":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","author":"JM Carmona","year":"2012","unstructured":"Carmona, J.M., Climent, J.: A performance evaluation of HMM and DTW for gesture recognition. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds.) CIARP 2012. LNCS, vol. 7441, pp. 236\u2013243. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33275-3_29"},{"key":"62_CR4","doi-asserted-by":"crossref","unstructured":"Correa, D.S., Sciotti, D.F., Prado, M.G.: Mobile robots navigation in indoor environments using kinect sensor. In: Second Brazilian Conference on Critical Embedded Systems (CBSEC), Brazil, pp. 36\u201341 (2012)","DOI":"10.1109\/CBSEC.2012.18"},{"key":"62_CR5","doi-asserted-by":"crossref","unstructured":"Csaba, G., Somlyai, L., V\u00e1mossy, Z.: Differences between kinect and structured lighting sensor in robot navigation. In: 2012 IEEE 10th International Symposium Applied Machine Intelligence and Informatics (SAMI), Herl\u2019any, Slovakia, pp. 85\u201390. IEEE (2012)","DOI":"10.1109\/SAMI.2012.6208934"},{"key":"62_CR6","doi-asserted-by":"crossref","unstructured":"Essid, S., Alexiadis, D., Tournemenne, R., Gowing, M., Kelly, P., Monaghan, D., Daras, P., Dr\u00e9meau, A., O\u2019Connor, N.E.: An advanced virtual dance performance evaluator. In: 2012 IEEE International Conference Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan. IEEE (2012)","DOI":"10.1109\/ICASSP.2012.6288366"},{"key":"62_CR7","doi-asserted-by":"crossref","unstructured":"Gowing, M., Kell, P., O\u2019Connor, N.E., Concolato, C., Essid, S., Lefeuvre, J., Zhang, Q.: Enhanced visualisation of dance performance from automatically synchronised multimodal recordings. In: MM International Multimedia Conference, pp. 667\u2013670. ACM, New York (2011)","DOI":"10.1145\/2072298.2072414"},{"key":"62_CR8","doi-asserted-by":"crossref","unstructured":"Hani, B.-S., Clinton, J.: Evaluating the effect of 3D world integration within a social software environment. In: 2015 12th International Conference Information Technology - New Generations (ITNG), Las Vegas, NV, USA, pp. 255\u2013260. IEEE (2015)","DOI":"10.1109\/ITNG.2015.47"},{"key":"62_CR9","doi-asserted-by":"crossref","unstructured":"Higinio, G., Riveiro, B., Esteban, V.-F., Martinez-Sanchez, J., Pedro, A.: Metrological evaluation of microsoft kinect and asus xtion sensors, 1800\u20131806 (2013)","DOI":"10.1016\/j.measurement.2013.01.011"},{"key":"62_CR10","doi-asserted-by":"crossref","unstructured":"Hu, M.-C., Chen, C.-W., Cheng, W.-H., Chang, C.-H., Lai, J.-H., Wu, J.-L.: Real-time human movement retrieval and assessment with kinect sensor. IEEE Trans. Cybern. 742\u2013753 (2014)","DOI":"10.1109\/TCYB.2014.2335540"},{"key":"62_CR11","doi-asserted-by":"crossref","unstructured":"Huang, C.-H., Boyer, E., Ilic, S.: Robust human body shape and pose tracking. In: International Conference on 3D Vision, Washington, DC, USA, pp. 287\u2013294. IEEE (2013)","DOI":"10.1109\/3DV.2013.45"},{"key":"62_CR12","doi-asserted-by":"crossref","unstructured":"Jia, W., Won-Jae, Y., Jafar, S., Erdal, O.: 3D image reconstruction and human body tracking using stereo vision and kinect technology. In: 2012 IEEE International Conference Electro\/Information Technology (EIT), Indianapolis, IN, USA. IEEE (2012)","DOI":"10.1109\/EIT.2012.6220732"},{"key":"62_CR13","doi-asserted-by":"crossref","unstructured":"Jo, H., Yu, H., Kim, K., Sung, J.H.: Motion tracking system for multi-user with multiple kinects. Int. J. u-and e-Serv. Sci. Technol. 99\u2013108 (2015)","DOI":"10.14257\/ijunesst.2015.8.7.10"},{"key":"62_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/978-3-662-47074-9_2","volume-title":"Transactions on Computational Science XXV","author":"R Kar","year":"2015","unstructured":"Kar, R., Konar, A., Chakraborty, A.: Dance composition using microsoft kinect. In: Gavrilova, M.L., Tan, C.J.K., Saeed, K., Chaki, N., Shaikh, S.H. (eds.) Transactions on Computational Science XXV. LNCS, vol. 9030, pp. 20\u201334. Springer, Heidelberg (2015). doi: 10.1007\/978-3-662-47074-9_2"},{"key":"62_CR15","doi-asserted-by":"crossref","unstructured":"Adistambha, K., Ritz, C.H., Burnett, I.S.: Motion classification using dynamic time warping. In: 2008 IEEE 10th Workshop on Multimedia Signal Processing, Australia. IEEE (2008)","DOI":"10.1109\/MMSP.2008.4665151"},{"key":"62_CR16","doi-asserted-by":"crossref","unstructured":"Kitsikidis, A., Dimitropoulos, K., Douka, S., Grammalidis, N.: Dance analysis using multiple Kinect sensors. In: Computer Vision Theory and Applications (VISAPP), pp. 789\u2013795. IEEE (2014)","DOI":"10.5220\/0004874007890795"},{"key":"62_CR17","first-page":"23","volume":"6","author":"M Kyan","year":"2015","unstructured":"Kyan, M., Sun, G., Li, H., Zhong, L., Muneesawang, P., Dong, N., Guan, L.: An approach to ballet dance training through MS kinect and visualization in a cave virtual reality environment. ACM Trans. Intell. Syst. Technol. (TIST) 6, 23 (2015). Special Section on Visual Understanding with RGB-D Sensors. ACM, New York, NY, USA","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"62_CR18","unstructured":"Marija, M., Mile, J., Darko, M.: Analysis of the problem of Macedonian folk dance recognition. In: Conference for Informatics and Information Technology (2013)"},{"key":"62_CR19","doi-asserted-by":"crossref","unstructured":"Martin, C.C., Burkert, D.C., Choi, K.R.: A real-time ergonomic monitoring system using the microsoft kinect. In: Systems and Information Symposium (SIEDS), pp. 50\u201355. IEEE (2012)","DOI":"10.1109\/SIEDS.2012.6215130"},{"key":"62_CR20","unstructured":"Mohamed, A., Surip, S.: Real-time interactive cultural dance with gesture gaming elements via kinect-based skeleton tracking. In: 6th International Conference on Local Knowledge (ICLK), pp. 385\u2013391 (2016)"},{"key":"62_CR21","unstructured":"Moran, A., Kamhi, G., Popov, A., Groscot, R.: Introducing Intel\u00ae RealSense\u2122. Robotics Innovation Program (2015). http:\/\/roscon.ros.org\/2015"},{"key":"62_CR22","unstructured":"Nazeeh, A., Khan, A., Alnowaimi, M., Morfeq, A.H., Ehab, A.H.: Accuracy of joint angles tracking using markerless motion system (2014)"},{"key":"62_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1007\/978-3-319-04114-8_40","volume-title":"MultiMedia Modeling","author":"GT Papadopoulos","year":"2014","unstructured":"Papadopoulos, G.T., Axenopoulos, A., Daras, P.: Real-time skeleton-tracking-based human action recognition using kinect data. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O\u2019Connor, N. (eds.) MMM 2014. LNCS, vol. 8325, pp. 473\u2013483. Springer, Cham (2014). doi: 10.1007\/978-3-319-04114-8_40"},{"key":"62_CR24","doi-asserted-by":"crossref","unstructured":"Park, H., Lee, J., Bae, J.: Development of a dance rehabilitation system using kinect and a vibration feedback glove. In: 2015 15th International Conference Control, Automation and Systems (ICCAS), Busan, South Korea. IEEE (2015)","DOI":"10.1109\/ICCAS.2015.7364669"},{"key":"62_CR25","unstructured":"Pohl, H., Hadjakos, A.: Dance pattern recognition using dynamic time warping. In: Sound and Music Computing (2010)"},{"key":"62_CR26","doi-asserted-by":"crossref","unstructured":"Raptis, M., Kirovski, D., Hoppe, H.: Real-time classification of dance gestures from skeleton animation. In: Symposium on Computer Animation, pp. 147\u2013156. ACM, New York (2011)","DOI":"10.1145\/2019406.2019426"},{"key":"62_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1007\/978-3-642-14061-7_18","volume-title":"Articulated Motion and Deformable Objects","author":"S Schulz","year":"2010","unstructured":"Schulz, S., Woerner, A.: Automatic motion segmentation for human motion synthesis. In: Perales, F.J., Fisher, R.B. (eds.) AMDO 2010. LNCS, vol. 6169, pp. 182\u2013191. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-14061-7_18"},{"key":"62_CR28","unstructured":"Sungphill, M., Youngbin, P., Wook, K.D., Hong, S.I.: Multiple kinect sensor fusion for human. Int. J. Adv. Robot. Syst. (2015)"},{"key":"62_CR29","doi-asserted-by":"crossref","unstructured":"Tang, J.K., Chan, J.C., Leung, H.: Interactive dancing game with real-time recognition of continuous dance moves from 3D human motion capture. In: International Conference on Ubiquitous Information Management and Communication, p. 50. ACM, New York (2011)","DOI":"10.1145\/1968613.1968674"},{"key":"62_CR30","doi-asserted-by":"crossref","unstructured":"Vantigodi, S., Radhakrishnan, V.B.: Action recognition from motion capture data using meta-cognitive RBF network classifier. In: 2014 IEEE Ninth International Conference Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, pp. 1\u20136. IEEE (2014)","DOI":"10.1109\/ISSNIP.2014.6827664"},{"key":"62_CR31","doi-asserted-by":"crossref","unstructured":"Wang, Q., Kurillo, G., Ofli, F., Bajcsy, R.: Evaluation of pose tracking accuracy in the first and second generations of microsoft kinect. In: Healthcare Informatics, pp. 380\u2013389. IEEE (2015)","DOI":"10.1109\/ICHI.2015.54"},{"key":"62_CR32","doi-asserted-by":"crossref","unstructured":"Yang, Y., Leung, H., Deng, L.: Automatic dance lesson generation. IEEE Trans. Learn. Technol. 191\u2013198 (2011). IEEE","DOI":"10.1109\/TLT.2011.31"},{"key":"62_CR33","unstructured":"How often and why do people\u2019s eyes blink? - The Boston Globe. Archive.boston.com (2016). http:\/\/archive.boston.com\/news\/science\/articles\/2007\/05\/14\/how_often_and_why_do_peoples_eyes_blink\/ . Accessed 07 Nov 2016"},{"key":"62_CR34","unstructured":"NEC Corporation of Malaysia introduces Neoface\u00ae facial recognition solutions for the first time in Malaysia. Sg.nec.com (2016). http:\/\/sg.nec.com\/en_AP\/press\/201408\/ap_20140812_01.html . Accessed 8 Oct 2016"},{"key":"62_CR35","unstructured":"Review: KeyLemon, Biometric-solutions.com (2016). http:\/\/www.biometric-solutions.com\/software\/reviews.php?story=keylemon . Accessed 8 Oct 2016"},{"key":"62_CR36","unstructured":"Makwana, H., Singh, T.: Comparison of different algorithm for face recognition. Global J. Comput. Sci. Technol. Graph. Vis. 13(9) (2013)"},{"key":"62_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/978-3-540-24670-1_36","volume-title":"Computer Vision - ECCV 2004","author":"T Ahonen","year":"2004","unstructured":"Ahonen, T., Hadid, A., Pietik\u00e4inen, M.: Face recognition with local binary patterns. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469\u2013481. Springer, Heidelberg (2004). doi: 10.1007\/978-3-540-24670-1_36"},{"issue":"4","key":"62_CR38","first-page":"121","volume":"4","author":"A Singh","year":"2012","unstructured":"Singh, A.: Comparison of face recognition algorithms on dummy faces. Int. J. Multimed. Appl. 4(4), 121\u2013135 (2012)","journal-title":"Int. J. Multimed. Appl."},{"key":"62_CR39","unstructured":"Muhammad, M.A.N., Ruhaiyem, N.I.R., Mohamed, A.S.A.: Keeping curiosity in local historical knowledge alive by sensor based simulation game using flash actionscript 3. In: Proceedings of the International Conference Local Knowledge (2016)"},{"issue":"6","key":"62_CR40","first-page":"23","volume":"8","author":"PL Ravi","year":"2016","unstructured":"Ravi, P.L., Ruhaiyem, N.I.R.: Intelligent gameplay for improved retro games. J. Telecommun. Electron. Comput. Eng. (JTEC) 8(6), 23\u201326 (2016)","journal-title":"J. Telecommun. Electron. Comput. Eng. (JTEC)"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Informatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70010-6_62","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T19:42:07Z","timestamp":1750966927000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-70010-6_62"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700090","9783319700106"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70010-6_62","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}