Predicting 3D lip shapes using facial surface EMG.

Journal: PloS one
Published Date:

Abstract

AIM: The aim of this study is to prove that facial surface electromyography (sEMG) conveys sufficient information to predict 3D lip shapes. High sEMG predictive accuracy implies we could train a neural control model for activation of biomechanical models by simultaneously recording sEMG signals and their associated motions.

Authors

  • Merijn Eskes
    Dept of Head and Neck Oncology and Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Maarten J A van Alphen
    Dept of Head and Neck Oncology and Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Alfons J M Balm
    Dept of Head and Neck Oncology and Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Ludi E Smeele
    Dept of Head and Neck Oncology and Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Dieta Brandsma
    Dept of Neuro-Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Ferdinand van der Heijden
    Dept of Head and Neck Oncology and Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands.