Study of Vocal Muscle Strain with Skin Deformation Tracking System

Steven Hogue, Adrianna C. Shembel, Xiaohu Guo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Vocal strain can have a profound effect on a person's life and livelihood. However, methods to identify and quantify vocal strain presumed to originate in the laryngeal muscles severely lack. We aim to address this shortcoming. Using motion capture with consumer RGBD cameras, we track skin deformation of perilaryngeal anterior neck regions in participants with and without vocal strain. Neck movement variability differences between the two groups provides insight into extrinsic laryngeal vocal muscles that may underlie symptoms of vocal strain.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 35th International Symposium on Computer-Based Medical Systems, CBMS 2022
EditorsLinlin Shen, Alejandro Rodriguez Gonzalez, KC Santosh, Zhihui Lai, Rosa Sicilia, Joao Rafael Almeida, Bridget Kane
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-113
Number of pages6
ISBN (Electronic)9781665467704
DOIs
StatePublished - 2022
Event35th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2022 - Shenzhen, China
Duration: Jul 21 2022Jul 23 2022

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2022-July
ISSN (Print)1063-7125

Conference

Conference35th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2022
Country/TerritoryChina
CityShenzhen
Period7/21/227/23/22

Keywords

  • Vocal strain
  • key-point tracking
  • laryngeal muscle
  • motion capture
  • skin deformation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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