1 Ocak 2021 Dergi makalesi Açık Erişim

Noroozi, Fatemeh; Corneanu, Ciprian Adrian; Kaminska, Dorota; Sapinski, Tomasz; Escalera, Sergio; Anbarjafari, Gholamreza

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/232694</identifier>
  <creators>
    <creator>
      <creatorName>Noroozi, Fatemeh</creatorName>
      <givenName>Fatemeh</givenName>
      <familyName>Noroozi</familyName>
      <affiliation>Univ Tartu, Inst Technol, ICV Lab, EE-50090 Tartu, Estonia</affiliation>
    </creator>
    <creator>
      <creatorName>Corneanu, Ciprian Adrian</creatorName>
      <givenName>Ciprian Adrian</givenName>
      <familyName>Corneanu</familyName>
    </creator>
    <creator>
      <creatorName>Kaminska, Dorota</creatorName>
      <givenName>Dorota</givenName>
      <familyName>Kaminska</familyName>
      <affiliation>Lodz Univ Technol, Dept Mechatron, PL-90924 Lodz, Poland</affiliation>
    </creator>
    <creator>
      <creatorName>Sapinski, Tomasz</creatorName>
      <givenName>Tomasz</givenName>
      <familyName>Sapinski</familyName>
      <affiliation>Lodz Univ Technol, Dept Mechatron, PL-90924 Lodz, Poland</affiliation>
    </creator>
    <creator>
      <creatorName>Escalera, Sergio</creatorName>
      <givenName>Sergio</givenName>
      <familyName>Escalera</familyName>
    </creator>
    <creator>
      <creatorName>Anbarjafari, Gholamreza</creatorName>
      <givenName>Gholamreza</givenName>
      <familyName>Anbarjafari</familyName>
    </creator>
  </creators>
  <titles>
    <title>Survey On Emotional Body Gesture Recognition</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/232694</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/TAFFC.2018.2874986</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestures remains a less explored topic. We present a new comprehensive survey hoping to boost research in the field. We first introduce emotional body gestures as a component of what is commonly known as "body language" and comment general aspects as gender differences and culture dependence. We then define a complete framework for automatic emotional body gesture recognition. We introduce person detection and comment static and dynamic body pose estimation methods both in RGB and 3D. We then comment the recent literature related to representation learning and emotion recognition from images of emotionally expressive gestures. We also discuss multi-modal approaches that combine speech or face with body gestures for improved emotion recognition. While pre-processing methodologies (e.g., human detection and pose estimation) are nowadays mature technologies fully developed for robust large scale analysis, we show that for emotion recognition the quantity of labelled data is scarce. There is no agreement on clearly defined output spaces and the representations are shallow and largely based on naive geometrical representations.</description>
  </descriptions>
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