Virtual Reality Annotator: A Tool to Annotate Dancers in a Virtual Environment

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this paper we describe the Virtual Reality Annotator, a visualization tool that allows users to dynamically annotate dancers in a virtual reality environment. The current annotation types supported are sketches, speech-to-text, and highlighting. Each type of annotation can be applied to a bone or a set of bones of the skeleton data or a set of points of the point-cloud data. Using a wireless mouse, users can interact with the 3D objects of the virtual reality space, specifically a 3D menu that allows to choose the type of annotation and desired color as well as the skeleton and point cloud data. Examples of usage of this system using data from expert dancers are presented and discussed as well as suggestions for future work.
Original languageEnglish
Title of host publicationDigital cultural heritage
EditorsMarinos Ioannides
PublisherSpringer
Pages257-266
Number of pages9
ISBN (Print)978-3-319-75825-1
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes in Computer Science

Keywords

  • Virtual reality
  • Annotations
  • Contemporary dance
  • Visualization
  • Interaction

Cite this

Ribeiro, C., Kuffner, R., & Fernandes, C. (2018). Virtual Reality Annotator: A Tool to Annotate Dancers in a Virtual Environment. In M. Ioannides (Ed.), Digital cultural heritage (pp. 257-266). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-75826-8_21
Ribeiro, Claudia ; Kuffner, Rafael ; Fernandes, Carla. / Virtual Reality Annotator : A Tool to Annotate Dancers in a Virtual Environment. Digital cultural heritage. editor / Marinos Ioannides. Springer, 2018. pp. 257-266 (Lecture Notes in Computer Science).
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abstract = "In this paper we describe the Virtual Reality Annotator, a visualization tool that allows users to dynamically annotate dancers in a virtual reality environment. The current annotation types supported are sketches, speech-to-text, and highlighting. Each type of annotation can be applied to a bone or a set of bones of the skeleton data or a set of points of the point-cloud data. Using a wireless mouse, users can interact with the 3D objects of the virtual reality space, specifically a 3D menu that allows to choose the type of annotation and desired color as well as the skeleton and point cloud data. Examples of usage of this system using data from expert dancers are presented and discussed as well as suggestions for future work.",
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Ribeiro, C, Kuffner, R & Fernandes, C 2018, Virtual Reality Annotator: A Tool to Annotate Dancers in a Virtual Environment. in M Ioannides (ed.), Digital cultural heritage. Lecture Notes in Computer Science, Springer, pp. 257-266. https://doi.org/10.1007/978-3-319-75826-8_21

Virtual Reality Annotator : A Tool to Annotate Dancers in a Virtual Environment. / Ribeiro, Claudia; Kuffner, Rafael; Fernandes, Carla.

Digital cultural heritage. ed. / Marinos Ioannides. Springer, 2018. p. 257-266 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - In this paper we describe the Virtual Reality Annotator, a visualization tool that allows users to dynamically annotate dancers in a virtual reality environment. The current annotation types supported are sketches, speech-to-text, and highlighting. Each type of annotation can be applied to a bone or a set of bones of the skeleton data or a set of points of the point-cloud data. Using a wireless mouse, users can interact with the 3D objects of the virtual reality space, specifically a 3D menu that allows to choose the type of annotation and desired color as well as the skeleton and point cloud data. Examples of usage of this system using data from expert dancers are presented and discussed as well as suggestions for future work.

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Ribeiro C, Kuffner R, Fernandes C. Virtual Reality Annotator: A Tool to Annotate Dancers in a Virtual Environment. In Ioannides M, editor, Digital cultural heritage. Springer. 2018. p. 257-266. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-75826-8_21