Sound visualization based on mechanoluminescent diaphragms

Hee Beom Lee, Ho Geun Shin, Suman Timilsina, Ji Sik Kim, Gi Woo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This preliminary study presents a sound wave visualization method using mechanoluminescent composite diaphragms made of mechanoluminescence particles (SAO). To visualize the acoustic wave, the concept of Cymatics is used to make the sound waves and vibrations observable (the human sense of vision), as it is the most discriminating human sense. The goal of this study is eventually to extract the frequency information from images captured by compact image sensors without fast Fourier transform (FFT) whereas most previous studies on sound visualization focus on a technique used to enhance the understanding of acoustical behaviors, such as reflection, diffraction, and interference. In this study, highly pressure-sensitive mechanoluminescent diaphragms will be fabricated and used to produce the images in response to audible sound excitation such as speech. This initial study will offer the potential application for new means of speech recognition principle because a systematic visual perception of the isolated speech words can be achieved using the proposed sound visualization method.

Original languageEnglish
Title of host publicationNano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022
EditorsJaehwan Kim, Kyo D. Song, Ilkwon Oh, Maurizio Porfiri
PublisherSPIE
ISBN (Electronic)9781510649651
DOIs
StatePublished - 2022
EventNano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022 - Virtual, Online
Duration: 4 Apr 202210 Apr 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12045
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceNano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022
CityVirtual, Online
Period4/04/2210/04/22

Keywords

  • mechanoluminescent composite diaphragms
  • Sound visualization
  • speech recognition

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