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Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression
Continuous movements of the hand contain discrete expressions of meaning, forming a variety of semantic gestures. For example, it is generally considered that the bending of the finger includes three semantic states of bending, half bending, and straightening. However, there is still no research on...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199321/ https://www.ncbi.nlm.nih.gov/pubmed/34072094 http://dx.doi.org/10.3390/s21113735 |
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author | Jia, Lesong Zhou, Xiaozhou Qin, Hao Bai, Ruidong Wang, Liuqing Xue, Chengqi |
author_facet | Jia, Lesong Zhou, Xiaozhou Qin, Hao Bai, Ruidong Wang, Liuqing Xue, Chengqi |
author_sort | Jia, Lesong |
collection | PubMed |
description | Continuous movements of the hand contain discrete expressions of meaning, forming a variety of semantic gestures. For example, it is generally considered that the bending of the finger includes three semantic states of bending, half bending, and straightening. However, there is still no research on the number of semantic states that can be conveyed by each movement primitive of the hand, especially the interval of each semantic state and the representative movement angle. To clarify these issues, we conducted experiments of perception and expression. Experiments 1 and 2 focused on perceivable semantic levels and boundaries of different motion primitive units from the perspective of visual semantic perception. Experiment 3 verified and optimized the segmentation results obtained above and further determined the typical motion values of each semantic state. Furthermore, in Experiment 4, the empirical application of the above semantic state segmentation was illustrated by using Leap Motion as an example. We ended up with the discrete gesture semantic expression space both in the real world and Leap Motion Digital World, containing the clearly defined number of semantic states of each hand motion primitive unit and boundaries and typical motion angle values of each state. Construction of this quantitative semantic expression will play a role in guiding and advancing research in the fields of gesture coding, gesture recognition, and gesture design. |
format | Online Article Text |
id | pubmed-8199321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81993212021-06-14 Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression Jia, Lesong Zhou, Xiaozhou Qin, Hao Bai, Ruidong Wang, Liuqing Xue, Chengqi Sensors (Basel) Article Continuous movements of the hand contain discrete expressions of meaning, forming a variety of semantic gestures. For example, it is generally considered that the bending of the finger includes three semantic states of bending, half bending, and straightening. However, there is still no research on the number of semantic states that can be conveyed by each movement primitive of the hand, especially the interval of each semantic state and the representative movement angle. To clarify these issues, we conducted experiments of perception and expression. Experiments 1 and 2 focused on perceivable semantic levels and boundaries of different motion primitive units from the perspective of visual semantic perception. Experiment 3 verified and optimized the segmentation results obtained above and further determined the typical motion values of each semantic state. Furthermore, in Experiment 4, the empirical application of the above semantic state segmentation was illustrated by using Leap Motion as an example. We ended up with the discrete gesture semantic expression space both in the real world and Leap Motion Digital World, containing the clearly defined number of semantic states of each hand motion primitive unit and boundaries and typical motion angle values of each state. Construction of this quantitative semantic expression will play a role in guiding and advancing research in the fields of gesture coding, gesture recognition, and gesture design. MDPI 2021-05-27 /pmc/articles/PMC8199321/ /pubmed/34072094 http://dx.doi.org/10.3390/s21113735 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jia, Lesong Zhou, Xiaozhou Qin, Hao Bai, Ruidong Wang, Liuqing Xue, Chengqi Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression |
title | Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression |
title_full | Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression |
title_fullStr | Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression |
title_full_unstemmed | Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression |
title_short | Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression |
title_sort | research on discrete semantics in continuous hand joint movement based on perception and expression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199321/ https://www.ncbi.nlm.nih.gov/pubmed/34072094 http://dx.doi.org/10.3390/s21113735 |
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