01959nas a2200253   4500000000100000000000100001008004100002653003200043653001900075653001600094653001900110100003200129700002000161700001700181700001700198700001800215700002300233700002000256245009000276856014500366490000700511520116700518022002001685                                       d10aDance capturing methodology10aDance scanning10aLazgi dance10aMotion capture1 aMaria Skublewska-Paszkowska1 aPawel Powroznik1 aJakub Smolka1 aMarek Milosz1 aEdyta Lukasik1 aDilbar Mukhamedova1 aElzbieta Milosz00aMethodology of 3D Scanning of Intangible Cultural Heritage-The Example of Lazgi Dance  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120831553&doi=10.3390%2fapp112311568&partnerID=40&md5=f492c0d93a0dc8f73492a870abf576810 v113 aTraditional dance is one of the key elements of Intangible Culture Heritage (ICH). Many scientific papers concern analysis of dance sequences, classification and recognition of movements, making ICH data public, creating and visualising 3D models or software solutions for learning folklore dances. These works make it possible to preserve this disappearing art. The aim of this article is to propose a methodology for scanning folklore dances. The methodology was developed on the basis of capturing 3D data via an optical motion capture system with a full body Plug-in Gait model that allows for kinematic and kinetic analysis of motion sequences. An additional element of this research was the development of a hand model with which it is possible to precisely analyse the fingers, which play a significant role in many dances. The present methodology was verified on the basis of the Lazgi dance, included in the UNESCO ICH list. The obtained results of movement biomechanics for the dance sequence and the angles of the fingers indicate that it is universal and can be applied to dances that involve the upper and lower body parts, including hand movements.  a20763417 (ISSN)