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

Author:

Lin Shuyu1ORCID,Zhu Jialun12,Yu Wenzhuo1ORCID,Wang Bo1ORCID,Sabet Kiarash A.1,Zhao Yichao12ORCID,Cheng Xuanbing12ORCID,Hojaiji Hannaneh1ORCID,Lin Haisong1ORCID,Tan Jiawei12,Milla Carlos3ORCID,Davis Ronald W.4ORCID,Emaminejad Sam15ORCID

Affiliation:

1. Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095

2. Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095

3. The Stanford Cystic Fibrosis Center, Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305

4. Stanford Genome Technology Center, Stanford University School of Medicine, Stanford, CA 94304

5. Department of Bioengineering, University of California, Los Angeles, CA 90095

Abstract

Significance The awareness of the individuals’ biological status is critical for creating interactive environments. Accordingly, we devised a multimodal cryptographic bio-human–machine interface (CB-HMI), which seamlessly translates touch-based entries into encrypted biochemical, biophysical, and biometric indices (i.e., circulating biomarkers levels, heart rate, oxygen saturation level, and fingerprint pattern). As its central component, the CB-HMI features thin hydrogel-coated chemical sensors and a signal interpretation framework to access/interpret biochemical indices, bypassing the challenge of circulating analyte accessibility and the confounding effect of pressing force variability. Upgrading the surrounding objects with CB-HMI, we demonstrated new interactive solutions for driving safety and medication use, where the integrated CB-HMI uniquely enabled one-touch bioauthentication (based on the user’s biological state/identity), prior to rendering the intended services.

Funder

National Science Foundation

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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