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Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation
The tracking of body motion, such as bending or twisting, plays an important role in modern sign language translation. Here, a subtle flexible self-powered piezoelectric sensor (PES) made of graphene (GR)-doped polyvinylidene fluoride (PVDF) nanofibers is reported. The PES exhibits a high sensitivit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Beilstein-Institut
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653329/ https://www.ncbi.nlm.nih.gov/pubmed/33194515 http://dx.doi.org/10.3762/bjnano.11.148 |
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author | Yang, Shuai Cui, Xiaojing Guo, Rui Zhang, Zhiyi Sang, Shengbo Zhang, Hulin |
author_facet | Yang, Shuai Cui, Xiaojing Guo, Rui Zhang, Zhiyi Sang, Shengbo Zhang, Hulin |
author_sort | Yang, Shuai |
collection | PubMed |
description | The tracking of body motion, such as bending or twisting, plays an important role in modern sign language translation. Here, a subtle flexible self-powered piezoelectric sensor (PES) made of graphene (GR)-doped polyvinylidene fluoride (PVDF) nanofibers is reported. The PES exhibits a high sensitivity to pressing and bending, and there is a stable correlation between bending angle and piezoelectric voltage. The sensitivity can be adjusted by changing the doping concentration of GR. Also, when the PES contacts a source of heat, a pyroelectric signal can be acquired. The positive correlation between temperature and signal can be used to avoid burns. The integrated sensing system based on multiple PESs can accurately recognize the action of each finger in real time, which can be effectively applied in sign language translation. PES-based motion-tracking applications have been effectively used, especially in human–computer interaction, such as gesture control, rehabilitation training, and auxiliary communication. |
format | Online Article Text |
id | pubmed-7653329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Beilstein-Institut |
record_format | MEDLINE/PubMed |
spelling | pubmed-76533292020-11-13 Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation Yang, Shuai Cui, Xiaojing Guo, Rui Zhang, Zhiyi Sang, Shengbo Zhang, Hulin Beilstein J Nanotechnol Full Research Paper The tracking of body motion, such as bending or twisting, plays an important role in modern sign language translation. Here, a subtle flexible self-powered piezoelectric sensor (PES) made of graphene (GR)-doped polyvinylidene fluoride (PVDF) nanofibers is reported. The PES exhibits a high sensitivity to pressing and bending, and there is a stable correlation between bending angle and piezoelectric voltage. The sensitivity can be adjusted by changing the doping concentration of GR. Also, when the PES contacts a source of heat, a pyroelectric signal can be acquired. The positive correlation between temperature and signal can be used to avoid burns. The integrated sensing system based on multiple PESs can accurately recognize the action of each finger in real time, which can be effectively applied in sign language translation. PES-based motion-tracking applications have been effectively used, especially in human–computer interaction, such as gesture control, rehabilitation training, and auxiliary communication. Beilstein-Institut 2020-11-02 /pmc/articles/PMC7653329/ /pubmed/33194515 http://dx.doi.org/10.3762/bjnano.11.148 Text en Copyright © 2020, Yang et al. https://creativecommons.org/licenses/by/4.0https://www.beilstein-journals.org/bjnano/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the authors and source are credited. The license is subject to the Beilstein Journal of Nanotechnology terms and conditions: (https://www.beilstein-journals.org/bjnano/terms) |
spellingShingle | Full Research Paper Yang, Shuai Cui, Xiaojing Guo, Rui Zhang, Zhiyi Sang, Shengbo Zhang, Hulin Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation |
title | Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation |
title_full | Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation |
title_fullStr | Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation |
title_full_unstemmed | Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation |
title_short | Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation |
title_sort | piezoelectric sensor based on graphene-doped pvdf nanofibers for sign language translation |
topic | Full Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653329/ https://www.ncbi.nlm.nih.gov/pubmed/33194515 http://dx.doi.org/10.3762/bjnano.11.148 |
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