An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts
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...
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Language: | English |
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MDPI AG
2020-10-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/10/20/7325 |
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author | Nikolaos Partarakis Xenophon Zabulis Antonis Chatziantoniou Nikolaos Patsiouras Ilia Adami |
author_facet | Nikolaos Partarakis Xenophon Zabulis Antonis Chatziantoniou Nikolaos Patsiouras Ilia Adami |
author_sort | Nikolaos Partarakis |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T15:29:53Z |
format | Article |
id | doaj.art-b85765a0ac4e4f0a8f0bfa4da3c8bbf3 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T15:29:53Z |
publishDate | 2020-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-b85765a0ac4e4f0a8f0bfa4da3c8bbf32023-11-20T17:44:26ZengMDPI AGApplied Sciences2076-34172020-10-011020732510.3390/app10207325An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional CraftsNikolaos Partarakis0Xenophon Zabulis1Antonis Chatziantoniou2Nikolaos Patsiouras3Ilia Adami4Institute of Computer Science, Foundation for Research and Technology (ICS-FORTH), N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceInstitute of Computer Science, Foundation for Research and Technology (ICS-FORTH), N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceInstitute of Computer Science, Foundation for Research and Technology (ICS-FORTH), N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceInstitute of Computer Science, Foundation for Research and Technology (ICS-FORTH), N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceInstitute of Computer Science, Foundation for Research and Technology (ICS-FORTH), N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceA 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.https://www.mdpi.com/2076-3417/10/20/7325motion capturecomputer visionmotion segmentationmotion retargetingtraditional craftsvirtual reality |
spellingShingle | Nikolaos Partarakis Xenophon Zabulis Antonis Chatziantoniou Nikolaos Patsiouras Ilia Adami An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts Applied Sciences motion capture computer vision motion segmentation motion retargeting traditional crafts virtual reality |
title | An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts |
title_full | An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts |
title_fullStr | An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts |
title_full_unstemmed | An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts |
title_short | An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts |
title_sort | approach to the creation and presentation of reference gesture datasets for the preservation of traditional crafts |
topic | motion capture computer vision motion segmentation motion retargeting traditional crafts virtual reality |
url | https://www.mdpi.com/2076-3417/10/20/7325 |
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