TY - JOUR
T1 - Dynamics of plosive consonants via imaging, computations, and soft electronics
AU - Kim, Jin Tae
AU - Ouyang, Wei
AU - Hwang, Hanul
AU - Jeong, Hyoyoung
AU - Kang, Soohyeon
AU - Bose, Sanjeeb
AU - Kwak, Sung Soo
AU - Ni, Xiaoyue
AU - Kim, Hyeonsu
AU - Park, Jaehong
AU - Chen, Hope
AU - Soetikno, Alan
AU - Kim, Joohee
AU - Xu, Shuai
AU - Chamorro, Leonardo P.
AU - Rogers, John A
N1 - Publisher Copyright:
Copyright © 2022 the Author(s). Published by PNAS.
PY - 2022/11/15
Y1 - 2022/11/15
N2 - A quantitative understanding of the coupled dynamics of flow and particles in aerosol and droplet transmission associated with speech remains elusive. Here, we summarize an effort that integrates insights into flow-particle dynamics induced by the production plosive sounds during speech with skin-integrated electronic systems for monitoring the production of these sounds. In particular, we uncover diffusive and ballistic regimes separated by a threshold particle size and characterize the Lagrangian acceleration and pair dispersion. Lagrangian dynamics of the particles in the diffusive regime exhibit features of isotropic turbulence. These fundamental findings highlight the value in skin-interfaced wireless sensors for continuously measuring critical speech patterns in clinical settings, work environments, and the home, based on unique neck biomechanics associated with the generation of plosive sounds. We introduce a wireless, soft device that captures these motions to enable detection of plosive sounds in multiple languages through a convolutional neural network approach. This work spans fundamental flow-particle physics to soft electronic technology, with implications in monitoring and studying critical speech patterns associated with aerosol and droplet transmissions relevant to the spread of infectious diseases.
AB - A quantitative understanding of the coupled dynamics of flow and particles in aerosol and droplet transmission associated with speech remains elusive. Here, we summarize an effort that integrates insights into flow-particle dynamics induced by the production plosive sounds during speech with skin-integrated electronic systems for monitoring the production of these sounds. In particular, we uncover diffusive and ballistic regimes separated by a threshold particle size and characterize the Lagrangian acceleration and pair dispersion. Lagrangian dynamics of the particles in the diffusive regime exhibit features of isotropic turbulence. These fundamental findings highlight the value in skin-interfaced wireless sensors for continuously measuring critical speech patterns in clinical settings, work environments, and the home, based on unique neck biomechanics associated with the generation of plosive sounds. We introduce a wireless, soft device that captures these motions to enable detection of plosive sounds in multiple languages through a convolutional neural network approach. This work spans fundamental flow-particle physics to soft electronic technology, with implications in monitoring and studying critical speech patterns associated with aerosol and droplet transmissions relevant to the spread of infectious diseases.
KW - computational fluid dynamics
KW - experimental fluid mechanics
KW - flow-particle physics
KW - machine learning
KW - skin-integrated electronics
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U2 - 10.1073/pnas.2214164119
DO - 10.1073/pnas.2214164119
M3 - Article
C2 - 36343234
AN - SCOPUS:85141359508
SN - 0027-8424
VL - 119
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 46
M1 - e2214164119
ER -