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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Main Authors: Nikolaos Partarakis, Xenophon Zabulis, Antonis Chatziantoniou, Nikolaos Patsiouras, Ilia Adami
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
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.
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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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