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Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application
Anisotropy control of the electronic structure in inorganic semiconductors is an important step in developing devices endowed with multi-function. Here, we demonstrate that the intrinsic anisotropy of tellurium nanowires can be used to modulate the electronic structure and piezoelectric polarization...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550802/ https://www.ncbi.nlm.nih.gov/pubmed/36216925 http://dx.doi.org/10.1038/s41467-022-33716-9 |
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author | Li, Linlin Zhao, Shufang Ran, Wenhao Li, Zhexin Yan, Yongxu Zhong, Bowen Lou, Zheng Wang, Lili Shen, Guozhen |
author_facet | Li, Linlin Zhao, Shufang Ran, Wenhao Li, Zhexin Yan, Yongxu Zhong, Bowen Lou, Zheng Wang, Lili Shen, Guozhen |
author_sort | Li, Linlin |
collection | PubMed |
description | Anisotropy control of the electronic structure in inorganic semiconductors is an important step in developing devices endowed with multi-function. Here, we demonstrate that the intrinsic anisotropy of tellurium nanowires can be used to modulate the electronic structure and piezoelectric polarization and decouple pressure and temperature difference signals, and realize VR interaction and neuro-reflex applications. The architecture design of the device combined with self-locking effect can eliminate dependence on displacement, enabling a single device to determine the hardness and thermal conductivity of materials through a simple touch. We used a bimodal Te-based sensor to develop a wearable glove for endowing real objects to the virtual world, which greatly improves VR somatosensory feedback. In addition, we successfully achieved stimulus recognition and neural-reflex in a rabbit sciatic nerve model by integrating the sensor signals using a deep learning technique. In view of in-/ex-vivo feasibility, the bimodal Te-based sensor would be considered a novel sensing platform for a wide range application of metaverse, AI robot, and electronic medicine. |
format | Online Article Text |
id | pubmed-9550802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95508022022-10-12 Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application Li, Linlin Zhao, Shufang Ran, Wenhao Li, Zhexin Yan, Yongxu Zhong, Bowen Lou, Zheng Wang, Lili Shen, Guozhen Nat Commun Article Anisotropy control of the electronic structure in inorganic semiconductors is an important step in developing devices endowed with multi-function. Here, we demonstrate that the intrinsic anisotropy of tellurium nanowires can be used to modulate the electronic structure and piezoelectric polarization and decouple pressure and temperature difference signals, and realize VR interaction and neuro-reflex applications. The architecture design of the device combined with self-locking effect can eliminate dependence on displacement, enabling a single device to determine the hardness and thermal conductivity of materials through a simple touch. We used a bimodal Te-based sensor to develop a wearable glove for endowing real objects to the virtual world, which greatly improves VR somatosensory feedback. In addition, we successfully achieved stimulus recognition and neural-reflex in a rabbit sciatic nerve model by integrating the sensor signals using a deep learning technique. In view of in-/ex-vivo feasibility, the bimodal Te-based sensor would be considered a novel sensing platform for a wide range application of metaverse, AI robot, and electronic medicine. Nature Publishing Group UK 2022-10-10 /pmc/articles/PMC9550802/ /pubmed/36216925 http://dx.doi.org/10.1038/s41467-022-33716-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Linlin Zhao, Shufang Ran, Wenhao Li, Zhexin Yan, Yongxu Zhong, Bowen Lou, Zheng Wang, Lili Shen, Guozhen Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application |
title | Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application |
title_full | Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application |
title_fullStr | Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application |
title_full_unstemmed | Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application |
title_short | Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application |
title_sort | dual sensing signal decoupling based on tellurium anisotropy for vr interaction and neuro-reflex system application |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550802/ https://www.ncbi.nlm.nih.gov/pubmed/36216925 http://dx.doi.org/10.1038/s41467-022-33716-9 |
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