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The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics
This communication describes a glove capable of wirelessly translating the American Sign Language (ASL) alphabet into text displayable on a computer or smartphone. The key components of the device are strain sensors comprising a piezoresistive composite of carbon particles embedded in a fluoroelasto...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507487/ https://www.ncbi.nlm.nih.gov/pubmed/28700603 http://dx.doi.org/10.1371/journal.pone.0179766 |
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author | O’Connor, Timothy F. Fach, Matthew E. Miller, Rachel Root, Samuel E. Mercier, Patrick P. Lipomi, Darren J. |
author_facet | O’Connor, Timothy F. Fach, Matthew E. Miller, Rachel Root, Samuel E. Mercier, Patrick P. Lipomi, Darren J. |
author_sort | O’Connor, Timothy F. |
collection | PubMed |
description | This communication describes a glove capable of wirelessly translating the American Sign Language (ASL) alphabet into text displayable on a computer or smartphone. The key components of the device are strain sensors comprising a piezoresistive composite of carbon particles embedded in a fluoroelastomer. These sensors are integrated with a wearable electronic module consisting of digitizers, a microcontroller, and a Bluetooth radio. Finite-element analysis predicts a peak strain on the sensors of 5% when the knuckles are fully bent. Fatigue studies suggest that the sensors successfully detect the articulation of the knuckles even when bent to their maximal degree 1,000 times. In concert with an accelerometer and pressure sensors, the glove is able to translate all 26 letters of the ASL alphabet. Lastly, data taken from the glove are used to control a virtual hand; this application suggests new ways in which stretchable and wearable electronics can enable humans to interface with virtual environments. Critically, this system was constructed of components costing less than $100 and did not require chemical synthesis or access to a cleanroom. It can thus be used as a test bed for materials scientists to evaluate the performance of new materials and flexible and stretchable hybrid electronics. |
format | Online Article Text |
id | pubmed-5507487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55074872017-07-25 The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics O’Connor, Timothy F. Fach, Matthew E. Miller, Rachel Root, Samuel E. Mercier, Patrick P. Lipomi, Darren J. PLoS One Research Article This communication describes a glove capable of wirelessly translating the American Sign Language (ASL) alphabet into text displayable on a computer or smartphone. The key components of the device are strain sensors comprising a piezoresistive composite of carbon particles embedded in a fluoroelastomer. These sensors are integrated with a wearable electronic module consisting of digitizers, a microcontroller, and a Bluetooth radio. Finite-element analysis predicts a peak strain on the sensors of 5% when the knuckles are fully bent. Fatigue studies suggest that the sensors successfully detect the articulation of the knuckles even when bent to their maximal degree 1,000 times. In concert with an accelerometer and pressure sensors, the glove is able to translate all 26 letters of the ASL alphabet. Lastly, data taken from the glove are used to control a virtual hand; this application suggests new ways in which stretchable and wearable electronics can enable humans to interface with virtual environments. Critically, this system was constructed of components costing less than $100 and did not require chemical synthesis or access to a cleanroom. It can thus be used as a test bed for materials scientists to evaluate the performance of new materials and flexible and stretchable hybrid electronics. Public Library of Science 2017-07-12 /pmc/articles/PMC5507487/ /pubmed/28700603 http://dx.doi.org/10.1371/journal.pone.0179766 Text en © 2017 O’Connor et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article O’Connor, Timothy F. Fach, Matthew E. Miller, Rachel Root, Samuel E. Mercier, Patrick P. Lipomi, Darren J. The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics |
title | The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics |
title_full | The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics |
title_fullStr | The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics |
title_full_unstemmed | The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics |
title_short | The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics |
title_sort | language of glove: wireless gesture decoder with low-power and stretchable hybrid electronics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507487/ https://www.ncbi.nlm.nih.gov/pubmed/28700603 http://dx.doi.org/10.1371/journal.pone.0179766 |
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