Skip to main navigation Skip to search Skip to main content

Interference-free nanogap pressure sensor array with high spatial resolution for wireless human-machine interfaces applications

  • Jae Soon Yang
  • , Myung Kun Chung
  • , Jae Young Yoo
  • , Min Uk Kim
  • , Beom Jun Kim
  • , Min Seung Jo
  • , Sung Ho Kim
  • , Jun Bo Yoon
  • Korea Advanced Institute of Science and Technology
  • Northwestern University

Research output: Contribution to journalArticlepeer-review

Abstract

Pressure sensors provide intuitive and easy-to-use information, making them essential for Human-Machine Interface (HMI) applications. However, capacitive pressure sensors, although prevalent in industrial applications, suffer from critical vulnerabilities to external interferences like water droplets and proximity. Without addressing these issues, pressure sensors can never be effectively utilized in various real-world applications. This paper addresses this critical issue by identifying fringe fields as the primary cause of interference and proposing a nanogap structured capacitive pressure sensor. By reducing the electrode gaps to hundreds of nanometers, our sensor effectively mitigates fringe field effects, ensuring reliable pressure detection and high spatial resolution. We demonstrate the sensor’s capabilities through wireless applications such as an artificial pressure sensing system and a force touch pad system, both showcasing exceptional resilience and accuracy. This innovation paves the way for robust, interference-free pressure sensors, significantly advancing HMI technology.

Original languageEnglish
Article number2024
JournalNature Communications
Volume16
Issue number1
DOIs
StatePublished - Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'Interference-free nanogap pressure sensor array with high spatial resolution for wireless human-machine interfaces applications'. Together they form a unique fingerprint.

Cite this