{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T20:40:21Z","timestamp":1736196021136,"version":"3.32.0"},"reference-count":10,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2005,12,28]],"date-time":"2005-12-28T00:00:00Z","timestamp":1135728000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp;amp; Computers in Japan"],"published-print":{"date-parts":[[2006,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this research, the authors evaluate the degree to which dancers copy or follow the techniques of a master, or the degree of proficiency, by analyzing movements in traditional Japanese dance. The data used consist of three\u2010dimensional time series for traditional Japanese dance movements acquired using optical motion capture system. In the authors' prior research, three moving coordinate systems which would move according to the translation and rotation of the body were used to extract the portion of the target movement. In this research, the authors consider a moving coordinate system which simultaneously takes into consideration translation, rotation, correction of orientation, and correction of waist tremble. In their prior research, the authors defined indices for movement stability and frequency characteristics as indices to quantitatively represent in an objective fashion the degree of proficiency of a dancer. Separate from this, in the current research the authors define an index with the spectrum component using a Gabor transform and an index for the amount of translation. The authors had a total of five people, a master from a particular dance school and four dance students of different genders and at different experience levels (all the master's students), perform dance experiments. The authors then extracted the target movements, measured the indices using the extraction results, and attempted to evaluate the degree of proficiency based on the proposed indices. Extraction was sufficiently precise, and the authors were able to confirm that the indices represent the differences appearing due to degree of proficiency and gender. \u00a9 2005 Wiley Periodicals, Inc. Syst Comp Jpn, 37(1): 71\u201382, 2006; Published online in Wiley InterScience (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.interscience.wiley.com\">www.interscience. wiley.com<\/jats:ext-link>). DOI 10.1002\/scj.20250<\/jats:p>","DOI":"10.1002\/scj.20250","type":"journal-article","created":{"date-parts":[[2005,12,28]],"date-time":"2005-12-28T15:08:00Z","timestamp":1135782480000},"page":"71-82","source":"Crossref","is-referenced-by-count":10,"title":["Analysis of Japanese dance movements using motion capture system"],"prefix":"10.1002","volume":"37","author":[{"given":"Mitsu","family":"Yoshimura","sequence":"first","affiliation":[]},{"given":"Hideki","family":"Murasato","sequence":"additional","affiliation":[]},{"given":"Tamiko","family":"Kai","sequence":"additional","affiliation":[]},{"given":"Akira","family":"Kuromiya","sequence":"additional","affiliation":[]},{"given":"Kiyoko","family":"Yokoyama","sequence":"additional","affiliation":[]},{"given":"Kozaburo","family":"Hachimura","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2005,12,28]]},"reference":[{"volume-title":"\u201cWaza\u201d kara shiru","year":"1997","author":"Ikuta K","key":"e_1_2_1_2_2"},{"key":"e_1_2_1_3_2","first-page":"2644","article-title":"A trial for identifying and characterizing typical part of Japanese dancing","volume":"84","author":"Yoshimura M","year":"2001","journal-title":"Trans IEICE"},{"doi-asserted-by":"crossref","unstructured":"YoshimuraM MineN KaiT YoshimuraI.Quantification of characteristic features of Japanese dance for individuality recognition. Proc 10th IEEE Int. Workshop on Robot and Human Communication ROMAN '01 p188\u2013193.","key":"e_1_2_1_4_2","DOI":"10.1109\/ROMAN.2001.981900"},{"unstructured":"YoshimuraM KaiT KuromiyaA YokoyamaK.Analysis of Japanese dance movements using infrared tracing system. Symposium on Image Recognition and Comprehension (MIRU 2002) Vol. II p435\u2013440.","key":"e_1_2_1_5_2"},{"unstructured":"MatsumotoT HachimuraK.Generating motion description based on Labanotation from motion\u2010captured data. Proceedings of the Anthropology and Computer Symposium p17\u201324 2000.","key":"e_1_2_1_6_2"},{"key":"e_1_2_1_7_2","article-title":"Motion analysis of Okinawa\u2010dance by multivariate autoregressive model","volume":"99","author":"Hiraga K","year":"1999","journal-title":"Tech Rep IEICE"},{"unstructured":"Motion analysis. 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