期刊
APPLIED SCIENCES-BASEL
卷 10, 期 20, 页码 -出版社
MDPI
DOI: 10.3390/app10207325
关键词
motion capture; computer vision; motion segmentation; motion retargeting; traditional crafts; virtual reality; cultural heritage; intangible cultural heritage
类别
资金
- European Union [822336]
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.
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