Evidence map›Paper›PMID 35377784›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

A touch-based multimodal and cryptographic bio-human-machine interface.

Shuyu Lin, Jialun Zhu, Wenzhuo Yu, Bo Wang, Kiarash A Sabet, Yichao Zhao, Xuanbing Cheng, Hannaneh Hojaiji, Haisong Lin, Jiawei Tan and 3 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Shuyu LinInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-5248-6124
Jialun ZhuInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.
Wenzhuo YuInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-1904-9088
Bo WangInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-3986-3415
Kiarash A SabetInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.
Yichao ZhaoInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-2884-8105
Xuanbing ChengInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0001-7682-0759
Hannaneh HojaijiInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-1963-5458
Haisong LinInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-5684-6385
Jiawei TanInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.
Carlos MillaThe Stanford Cystic Fibrosis Center, Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305.ORCID 0000-0001-5515-3053
Ronald W DavisStanford Genome Technology Center, Stanford University School of Medicine, Stanford, CA 94304.ORCID 0000-0003-3123-2333
Sam EmaminejadInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0003-0132-152X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Automobile DrivingTouch PerceptionUser-Computer InterfaceHumansTouchelectrochemical sensorshealthcare securityhuman–machine interfacehydrogelnoninvasive biomonitoring

Identifiers

PMID35377784
PMCPMC9169842

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.