REACH Projector: A Remote Collaboration Projector-Camera System with an Effective Visual Echo Cancellation Algorithm

Jingtao Liu, Casey J. Smith, Mike Tissenbaum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Remote learning poses many challenges for educators and students, particularly with hands-on activities typical of the STEM curriculum. Our group presents REACH (Remote Embodiment for Augmented Collaborative Help), a projector-camera system that shares remote gestures and workspaces and enables real-time interactions for end users. REACH is built using simple laser-cut structures and open-source hardware, making it accessible for deployment in K-12 environments. To address the common issue of visual echoing in projector-camera systems, we propose an effective algorithm that uses color space conversion and extraction in the CIELAB color space.

Original languageEnglish (US)
Title of host publicationCSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing
EditorsMichael Bernstein, Amy Bruckman, Ujwal Gadiraju, Aaron Halfaker, Xiaojuan Ma, Fabiano Pinatti, Miriam Redi, David Ribes, Saiph Savage, Amy Zhang
PublisherAssociation for Computing Machinery
Pages175-178
Number of pages4
ISBN (Electronic)9798400711145
DOIs
StatePublished - Nov 13 2024
Event27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024 - San Jose, Costa Rica
Duration: Nov 9 2024Nov 13 2024

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024
Country/TerritoryCosta Rica
CitySan Jose
Period11/9/2411/13/24

Keywords

  • embodiment learning
  • projector-camera system
  • remote learning
  • visual echo cancellation

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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