Method for Evaluation of the Motion Comfort of the Clothing for Deaf People Using of High Speed (4D) Scanning - 22.60

N. Sadretdinova and Y. Kyosev, "Method for Evaluation of the Motion Comfort of the Clothing for Deaf People Using of High Speed (4D) Scanning", Proc. of 3DBODY.TECH 2022 - 13th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 25-26 Oct. 2022, #60, https://doi.org/10.15221/22.60.

Title:

Method for Evaluation of the Motion Comfort of the Clothing for Deaf People Using of High Speed (4D) Scanning

Authors:

Nataliya SADRETDINOVA 1,2, Yordan KYOSEV 2

1 Kyiv State University of Technologies and Design, Ukraine;
2 TU Dresden, ITM, Chair of Development and Assembly of Textile Products, Dresden, Germany

Abstract:

This paper presents a short survey about the situation and amount of deaf people and the way they communicate. During the motion of the hands, deaf people require significantly more freedom in their clothing compared to the people, which can hear the voice and do not have to describe their words with hands. Typical gesture movements are scanned with a high-performance 4D scanner MOVE4D and the data is processed to homologous mesh using the scanner software. After that, a newly developed post-processing tool is applied for automatic analysis of the length changes of selected segments. Based on the analysis of the length, the extreme gestures as language postures are detected and the required length changes compensation due to material elongation or slippage is calculated. The use of the obtained data in the design of clothing for the hearing impaired will allow optimizing the cut of clothing following the functional environment.

Keywords:

clothing for deafs, sign language, gestures estimation

Full paper:

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Presentation:


Details:

Proceedings: 3DBODY.TECH 2022, 25-26 Oct. 2022, Lugano, Switzerland
Paper id#: 60
DOI: 10.15221/22.60

License/Copyright notice

Proceedings: © Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, hometrica.ch.
Authors retain all rights to individual papers, which are licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The papers appearing in the proceedings reflect the author's opinions. Their inclusion in the proceedings does not necessary constitute endorsement by the editor or by the publisher.


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