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A MR-Mapping System for Guided Self-Correction in Postural Rehabilitation

  • Tuotuo Yang*
  • , Chengwei Shi
  • , Shuo Yan
  • *Corresponding author for this work
  • Beihang University

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

Abstract

For large-limb movement correction training scenarios, real-time correction and standard movement observation during the process are important requirements. Using computer vision to achieve real-time recognition of user postures and constructing personalized training feedback streams through dynamic interaction paths are novel channels to enhance the experience. In this study, we propose a Trainer-Anchored MR system for large-limb rehabilitation training, in order to achieve the goal of self-correction of movement learning with low cost and high engagement.

Original languageEnglish
Title of host publicationProceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1197-1198
Number of pages2
ISBN (Electronic)9798319505293
DOIs
StatePublished - 2026
Event2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026 - Daegu, Korea, Republic of
Duration: 21 Mar 202625 Mar 2026

Publication series

NameProceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026

Conference

Conference2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026
Country/TerritoryKorea, Republic of
CityDaegu
Period21/03/2625/03/26

Keywords

  • Human-centered computing - Human computer interaction (HCI) - Interactive systems and tools
  • Human-centered computing - Mixed reality - Interaction techniques

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