Action modelling for interaction and analysis in smart sports and physical education

Fahim A. Salim, Fasih Haider, Maite Frutos-Pascual, Dennis Reidsma, Saturnino Luz, Bert Jan Van Beijnum

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

1 Citation (Scopus)
60 Downloads (Pure)

Abstract

This paper briefly overviews the first workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE). It focuses on the main aspects intended to be discussed in the workshop reflecting the main scope of the papers presented during the meeting. The MAIStroPE 2020 workshop is held in conjunction with the 22nd ACM International Conference on Mulitmodal Interaction (ICMI 2020) taking place in Utrecht, the Netherlands, in October 2020.

Original languageEnglish
Title of host publicationICMI 2020 Companion
Subtitle of host publicationCompanion Publication of the 2020 International Conference on Multimodal Interaction
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages228-229
Number of pages2
ISBN (Electronic)978-1-4503-8002-7
DOIs
Publication statusPublished - 27 Dec 2020
Event22nd ACM International Conference on Multimodal Interaction, ICMI 2020 - Online, Virtual, Online, Netherlands
Duration: 25 Oct 202029 Oct 2020
Conference number: 22
http://icmi.acm.org/2020/

Conference

Conference22nd ACM International Conference on Multimodal Interaction, ICMI 2020
Abbreviated titleICMI
Country/TerritoryNetherlands
CityVirtual, Online
Period25/10/2029/10/20
Internet address

Keywords

  • Action recognition
  • Behaviour analysis
  • Gestures analysis
  • Human-media interaction
  • Machine learning
  • Multimodal feedback
  • Multimodal systems
  • Multiplayer action modeling
  • Social network analysis
  • Wearable technologies
  • 22/2 OA procedure

Fingerprint

Dive into the research topics of 'Action modelling for interaction and analysis in smart sports and physical education'. Together they form a unique fingerprint.

Cite this