01962nas a2200313   4500000000100000000000100001000000100002008004100003260000800044653002000052653002200072653003300094653001900127653002300146653002400169653002300193653002000216100002400236700002100260700002700281700002400308700001500332245012300347856014400470300000900614490000700623520099800630022002001628       2020                            d  coct10aComputer Vision10acultural heritage10aIntangible cultural heritage10aMotion capture10aMotion retargeting10aMotion segmentation10aTraditional crafts10aVirtual reality1 aNikolaos Partarakis1 aXenophon Zabulis1 aAntonis Chatziantoniou1 aNikolaos Patsiouras1 aIlia Adami00aAn Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85093858687&doi=10.3390%2fapp10207325&partnerID=40&md5=61402eb5f21c3aeb9d39a0d2a423dd14  a1-170 v103 aA wide spectrum of digital data are becoming available to researchers and industries interested in the recording, documentation, recognition, and reproduction of human activities. In this work, we propose an approach for understanding and articulating human motion recordings into multimodal datasets and VR demonstrations of actions and activities relevant to traditional crafts. To implement the proposed approach, we introduce Animation Studio (AnimIO) that enables visualisation, editing, and semantic annotation of pertinent data. AnimIO is compatible with recordings acquired by Motion Capture (MoCap) and Computer Vision. Using AnimIO, the operator can isolate segments from multiple synchronous recordings and export them in multimodal animation files. AnimIO can be used to isolate motion segments that refer to individual craft actions, as described by practitioners. The proposed approach has been iteratively designed for use by non-experts in the domain of 3D motion digitisation.  a20763417 (ISSN)