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A touch-based multimodal and cryptographic bio-human–machine interface
The awareness of individuals’ biological status is critical for creating interactive and adaptive environments that can actively assist the users to achieve optimal outcomes. Accordingly, specialized human–machine interfaces—equipped with bioperception and interpretation capabilities—are required. T...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169842/ https://www.ncbi.nlm.nih.gov/pubmed/35377784 http://dx.doi.org/10.1073/pnas.2201937119 |
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author | Lin, Shuyu Zhu, Jialun Yu, Wenzhuo Wang, Bo Sabet, Kiarash A. Zhao, Yichao Cheng, Xuanbing Hojaiji, Hannaneh Lin, Haisong Tan, Jiawei Milla, Carlos Davis, Ronald W. Emaminejad, Sam |
author_facet | Lin, Shuyu Zhu, Jialun Yu, Wenzhuo Wang, Bo Sabet, Kiarash A. Zhao, Yichao Cheng, Xuanbing Hojaiji, Hannaneh Lin, Haisong Tan, Jiawei Milla, Carlos Davis, Ronald W. Emaminejad, Sam |
author_sort | Lin, Shuyu |
collection | PubMed |
description | The awareness of individuals’ biological status is critical for creating interactive and adaptive environments that can actively assist the users to achieve optimal outcomes. Accordingly, specialized human–machine interfaces—equipped with bioperception and interpretation capabilities—are required. To this end, we devised a multimodal cryptographic bio-human–machine interface (CB-HMI), which seamlessly translates the user’s touch-based entries into encrypted biochemical, biophysical, and biometric indices. As its central component, the CB-HMI features thin hydrogel-coated chemical sensors and inference algorithms to noninvasively and inconspicuously acquire biochemical indices such as circulating molecules that partition onto the skin (here, ethanol and acetaminophen). Additionally, the CB-HMI hosts physical sensors and associated algorithms to simultaneously acquire the user’s heart rate, blood oxygen level, and fingerprint minutiae pattern. Supported by human subject studies, we demonstrated the CB-HMI’s capability in terms of acquiring physiologically relevant readouts of target bioindices, as well as user-identifying and biometrically encrypting/decrypting these indices in situ (leveraging the fingerprint feature). By upgrading the common surrounding objects with the CB-HMI, we created interactive solutions for driving safety and medication use. Specifically, we demonstrated a vehicle-activation system and a medication-dispensing system, where the integrated CB-HMI uniquely enabled user bioauthentication (on the basis of the user’s biological state and identity) prior to rendering the intended services. Harnessing the levels of bioperception achieved by the CB-HMI and other intelligent HMIs, we can equip our surroundings with a comprehensive and deep awareness of individuals’ psychophysiological state and needs. |
format | Online Article Text |
id | pubmed-9169842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-91698422022-10-04 A touch-based multimodal and cryptographic bio-human–machine interface Lin, Shuyu Zhu, Jialun Yu, Wenzhuo Wang, Bo Sabet, Kiarash A. Zhao, Yichao Cheng, Xuanbing Hojaiji, Hannaneh Lin, Haisong Tan, Jiawei Milla, Carlos Davis, Ronald W. Emaminejad, Sam Proc Natl Acad Sci U S A Physical Sciences The awareness of individuals’ biological status is critical for creating interactive and adaptive environments that can actively assist the users to achieve optimal outcomes. Accordingly, specialized human–machine interfaces—equipped with bioperception and interpretation capabilities—are required. To this end, we devised a multimodal cryptographic bio-human–machine interface (CB-HMI), which seamlessly translates the user’s touch-based entries into encrypted biochemical, biophysical, and biometric indices. As its central component, the CB-HMI features thin hydrogel-coated chemical sensors and inference algorithms to noninvasively and inconspicuously acquire biochemical indices such as circulating molecules that partition onto the skin (here, ethanol and acetaminophen). Additionally, the CB-HMI hosts physical sensors and associated algorithms to simultaneously acquire the user’s heart rate, blood oxygen level, and fingerprint minutiae pattern. Supported by human subject studies, we demonstrated the CB-HMI’s capability in terms of acquiring physiologically relevant readouts of target bioindices, as well as user-identifying and biometrically encrypting/decrypting these indices in situ (leveraging the fingerprint feature). By upgrading the common surrounding objects with the CB-HMI, we created interactive solutions for driving safety and medication use. Specifically, we demonstrated a vehicle-activation system and a medication-dispensing system, where the integrated CB-HMI uniquely enabled user bioauthentication (on the basis of the user’s biological state and identity) prior to rendering the intended services. Harnessing the levels of bioperception achieved by the CB-HMI and other intelligent HMIs, we can equip our surroundings with a comprehensive and deep awareness of individuals’ psychophysiological state and needs. National Academy of Sciences 2022-04-04 2022-04-12 /pmc/articles/PMC9169842/ /pubmed/35377784 http://dx.doi.org/10.1073/pnas.2201937119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Lin, Shuyu Zhu, Jialun Yu, Wenzhuo Wang, Bo Sabet, Kiarash A. Zhao, Yichao Cheng, Xuanbing Hojaiji, Hannaneh Lin, Haisong Tan, Jiawei Milla, Carlos Davis, Ronald W. Emaminejad, Sam A touch-based multimodal and cryptographic bio-human–machine interface |
title | A touch-based multimodal and cryptographic bio-human–machine interface |
title_full | A touch-based multimodal and cryptographic bio-human–machine interface |
title_fullStr | A touch-based multimodal and cryptographic bio-human–machine interface |
title_full_unstemmed | A touch-based multimodal and cryptographic bio-human–machine interface |
title_short | A touch-based multimodal and cryptographic bio-human–machine interface |
title_sort | touch-based multimodal and cryptographic bio-human–machine interface |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169842/ https://www.ncbi.nlm.nih.gov/pubmed/35377784 http://dx.doi.org/10.1073/pnas.2201937119 |
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