Processing Kinematics of Nonmanual Markers in R

Jan Bulla; Vadim Kimmelman

doi:10.63317/35fyd7w2c7sm

Processing Kinematics of Nonmanual Markers in R

Correct Metadata for

Use this form to create a GitHub issue with structured data describing the correction. You will need a GitHub account. Once you create that issue, the correction will be reviewed by a staff member.

⚠️ Mobile Users: Submitting this form to create a new issue will only work with github.com, not the GitHub Mobile app.

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>. You may use ... for bold, ... for italic, ... for underline, <sc>...</sc> for small-caps, <tt>...<tt> for typewriter text, <url>...</url> for URLs, <a href=...> for hyperlinks, and <par/> for paragraph breaks.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the external publication .)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Abstract

Nonmanual markers, such as head and eyebrow movements, eye blinks, and mouth shapes, are an important part of natural languages, both spoken and signed. Recent developments in computer vision have made it possible to extract facial and body landmark positions, as well as head-rotation measures, from 2D video recordings, which can be further processed to analyse the kinematics of nonmanual articulators. In this paper, we present an R-based workflow for processing raw outputs of computer vision toolkits with the goal of producing reliable and interpretable kinematic measurements of nonmanual articulators.

Anthology ID:: 2026.signlang-1.7
Volume:: Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
Month:: May
Year:: 2026
Address:: Palma, Mallorca (Spain)
Editors:: Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Johanna Mesch, Marc Schulder
Venues:: SignLang | WS
SIG:
Publisher:: ELRA Language Resources Association (ELRA)
Note:
Pages:: 61–70
Language:
External URL:: https://lrec.elra.info/lrec2026-ws-signlang-07
DOI:: 10.63317/35fyd7w2c7sm
Bibkey:
Cite (ACL):: Jan Bulla and Vadim Kimmelman. 2026. Processing Kinematics of Nonmanual Markers in R. In Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion, pages 61–70, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):: Processing Kinematics of Nonmanual Markers in R (Bulla & Kimmelman, SignLang 2026)
Copy Citation:

External Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{bulla-kimmelman-2026-processing,
    title = "Processing Kinematics of Nonmanual Markers in {R}",
    author = "Bulla, Jan  and
      Kimmelman, Vadim",
    editor = "Efthimiou, Eleni  and
      Fotinea, Stavroula-Evita  and
      Hanke, Thomas  and
      Hochgesang, Julie A.  and
      Mesch, Johanna  and
      Schulder, Marc",
    booktitle = "Proceedings of the {LREC} 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion",
    month = may,
    year = "2026",
    address = "Palma, Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://aclanthology.org/2026.signlang-1.7/",
    doi = "10.63317/35fyd7w2c7sm",
    pages = "61--70",
    abstract = "Nonmanual markers, such as head and eyebrow movements, eye blinks, and mouth shapes, are an important part of natural languages, both spoken and signed. Recent developments in computer vision have made it possible to extract facial and body landmark positions, as well as head-rotation measures, from 2D video recordings, which can be further processed to analyse the kinematics of nonmanual articulators. In this paper, we present an R-based workflow for processing raw outputs of computer vision toolkits with the goal of producing reliable and interpretable kinematic measurements of nonmanual articulators."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="bulla-kimmelman-2026-processing">
    <titleInfo>
        <title>Processing Kinematics of Nonmanual Markers in R</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jan</namePart>
        <namePart type="family">Bulla</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vadim</namePart>
        <namePart type="family">Kimmelman</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Eleni</namePart>
            <namePart type="family">Efthimiou</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Stavroula-Evita</namePart>
            <namePart type="family">Fotinea</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Thomas</namePart>
            <namePart type="family">Hanke</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Julie</namePart>
            <namePart type="given">A</namePart>
            <namePart type="family">Hochgesang</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Johanna</namePart>
            <namePart type="family">Mesch</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Marc</namePart>
            <namePart type="family">Schulder</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELRA Language Resources Association (ELRA)</publisher>
            <place>
                <placeTerm type="text">Palma, Mallorca (Spain)</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Nonmanual markers, such as head and eyebrow movements, eye blinks, and mouth shapes, are an important part of natural languages, both spoken and signed. Recent developments in computer vision have made it possible to extract facial and body landmark positions, as well as head-rotation measures, from 2D video recordings, which can be further processed to analyse the kinematics of nonmanual articulators. In this paper, we present an R-based workflow for processing raw outputs of computer vision toolkits with the goal of producing reliable and interpretable kinematic measurements of nonmanual articulators.</abstract>
    <identifier type="citekey">bulla-kimmelman-2026-processing</identifier>
    <identifier type="doi">10.63317/35fyd7w2c7sm</identifier>
    <location>
        <url>https://aclanthology.org/2026.signlang-1.7/</url>
    </location>
    <part>
        <date>2026-05</date>
        <extent unit="page">
            <start>61</start>
            <end>70</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Processing Kinematics of Nonmanual Markers in R
%A Bulla, Jan
%A Kimmelman, Vadim
%Y Efthimiou, Eleni
%Y Fotinea, Stavroula-Evita
%Y Hanke, Thomas
%Y Hochgesang, Julie A.
%Y Mesch, Johanna
%Y Schulder, Marc
%S Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F bulla-kimmelman-2026-processing
%X Nonmanual markers, such as head and eyebrow movements, eye blinks, and mouth shapes, are an important part of natural languages, both spoken and signed. Recent developments in computer vision have made it possible to extract facial and body landmark positions, as well as head-rotation measures, from 2D video recordings, which can be further processed to analyse the kinematics of nonmanual articulators. In this paper, we present an R-based workflow for processing raw outputs of computer vision toolkits with the goal of producing reliable and interpretable kinematic measurements of nonmanual articulators.
%R 10.63317/35fyd7w2c7sm
%U https://aclanthology.org/2026.signlang-1.7/
%U https://doi.org/10.63317/35fyd7w2c7sm
%P 61-70

Download as File

Markdown (Informal)

[Processing Kinematics of Nonmanual Markers in R](https://aclanthology.org/2026.signlang-1.7/) (Bulla & Kimmelman, SignLang 2026)

Processing Kinematics of Nonmanual Markers in R (Bulla & Kimmelman, SignLang 2026)

ACL

Jan Bulla and Vadim Kimmelman. 2026. Processing Kinematics of Nonmanual Markers in R. In Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion, pages 61–70, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).