A preliminary application of principal components and cluster analysis to internal tongue deformation patterns

Maureen Stone, Xiaofeng Liu, Hegang Chen, Jerry L. Prince

Research output: Contribution to journalArticlepeer-review

Abstract

Complex patterns of muscle contractions create gross tongue motion during speech. It is of scientific and medical importance to better understand speech motor strategies and variations due to language or disorders. Dense patterns of tongue motion can be imaged using tagged magnetic resonance imaging, but characterisation of motion strategies is difficult using visualisation alone. This paper explores the use of principal component analysis for dimensionality reduction and cluster analysis for tongue motion categorisation. Velocity fields were acquired and analysed from midsagittal tongue slices during motion from /i/to /u/for eight datasets containing multiple languages and a glossectomy patient. The analyses were carried out on the tongue-only and tongue-plus-floor of the mouth regions. The results showed that both the analyses were sensitive to region size and that cluster analysis was harder to interpret. Both the analyses grouped the Japanese speaker with the glossectomy patient, which although explicable with biologically plausible reasons, highlights the limitations of extensive data reduction.

Original languageEnglish (US)
Pages (from-to)493-503
Number of pages11
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume13
Issue number4
DOIs
StatePublished - Jul 22 2010

Keywords

  • Cluster analysis
  • Magnetic resonance imaging
  • Principal components analysis
  • Tags
  • Tongue

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

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