TY - JOUR
KW - cultural heritage
KW - Intangible cultural heritage
KW - Traditional crafts
KW - Virtual reality
KW - Computer Vision
KW - Motion capture
KW - Motion retargeting
KW - Motion segmentation
AU - Nikolaos Partarakis
AU - Xenophon Zabulis
AU - Antonis Chatziantoniou
AU - Nikolaos Patsiouras
AU - Ilia Adami
AB - A 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.
AN - WOS:000587265200001
BT - Applied Sciences (Switzerland)
DA - 2020/10//undefined
DB - Scopus
DO - 10.3390/app10207325
IS - 20
J2 - Appl. Sci.
LA - English
N2 - A 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.
PY - 2020
SN - 20763417 (ISSN)
SP - 1
EP - 17
EP - 
T2 - Applied Sciences (Switzerland)
TI - An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093858687&doi=10.3390%2fapp10207325&partnerID=40&md5=61402eb5f21c3aeb9d39a0d2a423dd14
VL - 10
ER -