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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...

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Updated: Jun 11, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

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

Shuyu Lin¹, Jialun Zhu^2,3, Wenzhuo Yu²

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

Proceedings of the National Academy of Sciences of the United States of America

|April 4, 2022

Summary

This summary is machine-generated.

A new multimodal cryptographic bio-human–machine interface (CB-HMI) noninvasively measures biological data. This interface enables secure bioauthentication for enhanced driving safety and medication management systems.

Keywords:

electrochemical sensors healthcare security human–machine interface hydrogel noninvasive biomonitoring

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Last Updated: Jun 11, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

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Published on: March 10, 2011

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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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Published on: May 8, 2021

Area of Science:

Human-Computer Interaction
Biomedical Engineering
Wearable Technology

Background:

Adaptive environments require awareness of users' biological status for optimal assistance.
Specialized human–machine interfaces (HMIs) with bioperception are needed for this awareness.

Purpose of the Study:

To develop a multimodal cryptographic bio-human–machine interface (CB-HMI) for seamless biological data translation.
To enable noninvasive acquisition and secure encryption of biochemical, biophysical, and biometric indices.
To demonstrate practical applications in driving safety and medication use through bioauthentication.

Main Methods:

Development of a CB-HMI featuring hydrogel-coated chemical sensors for biochemical indices (e.g., ethanol, acetaminophen).
Integration of physical sensors for heart rate, blood oxygen, and fingerprint minutiae acquisition.
Utilized inference algorithms for data interpretation and biometric encryption/decryption using fingerprint features.

Main Results:

Successfully acquired physiologically relevant bioindices noninvasively and inconspicuously.
Demonstrated in situ user-identifying and biometric encryption/decryption of acquired data.
Validated CB-HMI in human subject studies for practical applications.

Conclusions:

The CB-HMI effectively translates touch entries into encrypted biological data for enhanced user awareness.
Implemented CB-HMI in vehicle-activation and medication-dispensing systems, enabling secure bioauthentication.
Highlights the potential for intelligent HMIs to create surroundings with deep awareness of psychophysiological states.