Literature DB >> 10573899

A model of facial biomechanics for speech production.

J C Lucero1, K G Munhall.   

Abstract

Modeling the peripheral speech motor system can advance the understanding of speech motor control and audiovisual speech perception. A 3-D physical model of the human face is presented. The model represents the soft tissue biomechanics with a multilayer deformable mesh. The mesh is controlled by a set of modeled facial muscles which uses a standard Hill-type representation of muscle dynamics. In a test of the model, recorded intramuscular electromyography (EMG) was used to activate the modeled muscles and the kinematics of the mesh was compared with 3-D kinematics recorded with OPTOTRAK. Overall, there was a good match between the recorded data and the model's movements. Animations of the model are provided as MPEG movies.

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Year:  1999        PMID: 10573899     DOI: 10.1121/1.428108

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  9 in total

1.  Cross-modal source information and spoken word recognition.

Authors:  Lorin Lachs; David B Pisoni
Journal:  J Exp Psychol Hum Percept Perform       Date:  2004-04       Impact factor: 3.332

2.  Asymmetries in unimodal visual vowel perception: The roles of oral-facial kinematics, orientation, and configuration.

Authors:  Matthew Masapollo; Linda Polka; Lucie Ménard; Lauren Franklin; Mark Tiede; James Morgan
Journal:  J Exp Psychol Hum Percept Perform       Date:  2018-03-08       Impact factor: 3.332

3.  Analysis of facial motion patterns during speech using a matrix factorization algorithm.

Authors:  Jorge C Lucero; Kevin G Munhall
Journal:  J Acoust Soc Am       Date:  2008-10       Impact factor: 2.482

4.  sEMG-assisted inverse modelling of 3D lip movement: a feasibility study towards person-specific modelling.

Authors:  Merijn Eskes; Alfons J M Balm; Maarten J A van Alphen; Ludi E Smeele; Ian Stavness; Ferdinand van der Heijden
Journal:  Sci Rep       Date:  2017-12-18       Impact factor: 4.379

5.  Predicting 3D lip shapes using facial surface EMG.

Authors:  Merijn Eskes; Maarten J A van Alphen; Alfons J M Balm; Ludi E Smeele; Dieta Brandsma; Ferdinand van der Heijden
Journal:  PLoS One       Date:  2017-04-13       Impact factor: 3.240

6.  Hands-Free User Interface for AR/VR Devices Exploiting Wearer's Facial Gestures Using Unsupervised Deep Learning.

Authors:  Jaekwang Cha; Jinhyuk Kim; Shiho Kim
Journal:  Sensors (Basel)       Date:  2019-10-14       Impact factor: 3.576

7.  Tooth eruption results from bone remodelling driven by bite forces sensed by soft tissue dental follicles: a finite element analysis.

Authors:  Babak Sarrafpour; Michael Swain; Qing Li; Hans Zoellner
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

8.  Simulation of facial expressions using person-specific sEMG signals controlling a biomechanical face model.

Authors:  Merijn Eskes; Alfons J M Balm; Maarten J A van Alphen; Ludi E Smeele; Ian Stavness; Ferdinand van der Heijden
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-08-31       Impact factor: 2.924

9.  Predicting 3D lip movement using facial sEMG: a first step towards estimating functional and aesthetic outcome of oral cancer surgery.

Authors:  Merijn Eskes; Maarten J A van Alphen; Ludi E Smeele; Dieta Brandsma; Alfons J M Balm; Ferdinand van der Heijden
Journal:  Med Biol Eng Comput       Date:  2016-07-01       Impact factor: 2.602

  9 in total

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