MagicMoves: A Gesture Creation Framework for Virtual Reality Applications

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Abstract

This paper presents MagicMoves, a novel, non-machine learning-based approach to gesture recognition for Unity, a widely used platform for developing virtual Reality applications. The need for an accessible and customizable gesture recognition system in Unity is emphasized, given the challenges associated with machine learning approaches, such as the requirement for extensive datasets and potential alienation of developers without deep machine learning knowledge. MagicMoves is designed to prioritize minimal overhead and high customization capabilities, allowing developers to record and incorporate their own gestures into their applications. The system is capable of recognizing a wide range of gestures, even those that are overly similar. The paper also discusses the technical requirements for developing such a framework, including gesture editing, gesture recognition, and user interface and integration.

Original languageEnglish
Title of host publication2023 International Conference on Intelligent Metaverse Technologies and Applications, iMETA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350328455
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Intelligent Metaverse Technologies and Applications, iMETA 2023 - Tartu, Estonia
Duration: 18 Sept 202320 Sept 2023

Publication series

Name2023 International Conference on Intelligent Metaverse Technologies and Applications, iMETA 2023

Conference

Conference2023 International Conference on Intelligent Metaverse Technologies and Applications, iMETA 2023
Country/TerritoryEstonia
CityTartu
Period18.09.202320.09.2023

Keywords

  • Gesture Interaction
  • Motion Capture
  • Virtual Reality

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