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Visual user interfaces for human motion

  • Lilian G.Motti Ader
  • , Brian Caulfied
  • , Benoît Bossavit
  • , Katerina El Raheb
  • , Mathieu Raynal
  • , Nadine Vigouroux
  • , Karine Lan Hing Ting
  • , Pourang P. Irani
  • , Jean Vanderdonckt
  • University College Dublin
  • Trinity College Dublin
  • National and Kapodistrian University of Athens
  • Université Fédérale Toulouse Midi-Pyrénées
  • Université de technologie de Troyes
  • University of Manitoba
  • Université catholique de Louvain

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Visual interfaces are important in human motion to capture it, to visualize it, and to facilitate motion-based interactive systems. This workshop aims at providing a platform for researchers, designers and users to discuss the challenges related to the design of visual interfaces for motion-based interaction, in terms of visualization (e.g. graphical user interface, multimodal feedback, evaluation) and processing (e.g., data collection, treatment, interpretation, recognition) of human movement (e.g., motor skills, amplitude of movements, limitations). We will share experiences, lessons learned and elaborate tools for developing all the possible applications going forward.

Original languageEnglish
Title of host publicationProceedings of the Working Conference on Advanced Visual Interfaces, AVI 2020
EditorsGenny Tortora, Giuliana Vitiello, Marco Winckler
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450375351
DOIs
Publication statusPublished - 28 Sept 2020
Externally publishedYes
Event2020 International Conference on Advanced Visual Interfaces, AVI 2020 - Salerno, Italy
Duration: 28 Sept 20202 Oct 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2020 International Conference on Advanced Visual Interfaces, AVI 2020
Country/TerritoryItaly
CitySalerno
Period28/09/202/10/20

Keywords

  • Motion-based interaction
  • gesture recognition
  • motion capture
  • movement computing
  • wearable devices

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