The Distributed Lambda (λ) Model (DLM): A 3-D, Finite-Element Muscle Model Based on Feldman's λ Model; Assessment of Orofacial Gestures.
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| Title: | The Distributed Lambda (λ) Model (DLM): A 3-D, Finite-Element Muscle Model Based on Feldman's λ Model; Assessment of Orofacial Gestures. |
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| Authors: | Nazari, Mohammad Ali Mohammad.Nazari@gipsa-lab.grenoble-inp.fr, Perrier, Pascal1, Payan, Yohan1,2 |
| Source: | Journal of Speech, Language & Hearing Research. Dec2013 Supplement, Vol. 56 Issue 6S, pS1909-S1923. 15p. 1 Diagram, 2 Charts, 11 Graphs. |
| Subject Terms: | *Computer software, *Experimental design, Lips, Skeletal muscle physiology, Biomechanics, Facial expression, Research funding, Speech, Physiology |
| Abstract: | Purpose: The authors aimed to design a distributed lambda model (DLM), which is well adapted to implement three-dimensional (3-D), finite-element descriptions of muscles. Method: A muscle element model was designed. Its Stress-strain relationships included the active force-length characteristics of the λ model along the muscle fibers, together with the passive properties of muscle tissues in the 3-D space. The muscle element was first assessed using simple geometrical representations of muscles in the form of rectangular bars. It was then included in a 3-D face model, and its impact on lip protrusion was compared with the impact of a Hill-type muscle model. Results: The force-length characteristic associated with the muscle elements matched well with the invariant characteristics of the l model. The impact of the passive properties was assessed. Isometric force variation and isotonic displacements were modeled. The comparison with a Hill-type model revealed strong similarities in terms of global stress and strain. Conclusion: The DLM accounted for the characteristics of the λ model. Biomechanically, no clear differences were found between the DLM and a Hill-type model. Accurate evaluations of the λ model, based on the comparison between data and simulations, are now possible with 3-D biomechanical descriptions of the speech articulators because of the DLM. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 93508239 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Distributed Lambda (λ) Model (DLM): A 3-D, Finite-Element Muscle Model Based on Feldman's λ Model; Assessment of Orofacial Gestures. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nazari%2C+Mohammad+Ali%22">Nazari, Mohammad Ali</searchLink><i> Mohammad.Nazari@gipsa-lab.grenoble-inp.fr</i><br /><searchLink fieldCode="AR" term="%22Perrier%2C+Pascal%22">Perrier, Pascal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Payan%2C+Yohan%22">Payan, Yohan</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. Dec2013 Supplement, Vol. 56 Issue 6S, pS1909-S1923. 15p. 1 Diagram, 2 Charts, 11 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br />*<searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Lips%22">Lips</searchLink><br /><searchLink fieldCode="DE" term="%22Skeletal+muscle+physiology%22">Skeletal muscle physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Biomechanics%22">Biomechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Facial+expression%22">Facial expression</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Speech%22">Speech</searchLink><br /><searchLink fieldCode="DE" term="%22Physiology%22">Physiology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: The authors aimed to design a distributed lambda model (DLM), which is well adapted to implement three-dimensional (3-D), finite-element descriptions of muscles. Method: A muscle element model was designed. Its Stress-strain relationships included the active force-length characteristics of the λ model along the muscle fibers, together with the passive properties of muscle tissues in the 3-D space. The muscle element was first assessed using simple geometrical representations of muscles in the form of rectangular bars. It was then included in a 3-D face model, and its impact on lip protrusion was compared with the impact of a Hill-type muscle model. Results: The force-length characteristic associated with the muscle elements matched well with the invariant characteristics of the l model. The impact of the passive properties was assessed. Isometric force variation and isotonic displacements were modeled. The comparison with a Hill-type model revealed strong similarities in terms of global stress and strain. Conclusion: The DLM accounted for the characteristics of the λ model. Biomechanically, no clear differences were found between the DLM and a Hill-type model. Accurate evaluations of the λ model, based on the comparison between data and simulations, are now possible with 3-D biomechanical descriptions of the speech articulators because of the DLM. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/1092-4388(2013/12-0222) Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: S1909 Subjects: – SubjectFull: Computer software Type: general – SubjectFull: Experimental design Type: general – SubjectFull: Lips Type: general – SubjectFull: Skeletal muscle physiology Type: general – SubjectFull: Biomechanics Type: general – SubjectFull: Facial expression Type: general – SubjectFull: Research funding Type: general – SubjectFull: Speech Type: general – SubjectFull: Physiology Type: general Titles: – TitleFull: The Distributed Lambda (λ) Model (DLM): A 3-D, Finite-Element Muscle Model Based on Feldman's λ Model; Assessment of Orofacial Gestures. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nazari, Mohammad Ali – PersonEntity: Name: NameFull: Perrier, Pascal – PersonEntity: Name: NameFull: Payan, Yohan IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 12 Text: Dec2013 Supplement Type: published Y: 2013 Identifiers: – Type: issn-print Value: 10924388 Numbering: – Type: volume Value: 56 – Type: issue Value: 6S Titles: – TitleFull: Journal of Speech, Language & Hearing Research Type: main |
| ResultId | 1 |
