A shared gesture and positioning system for smart environments

Christian Ziegler, Tejaswi Gowda, Brandon Mechtley

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


Simultaneous location and mapping (SLAM) describes a problem in applications such as robotics, self-driving vehicles, and unmanned aerial vehicles, of mapping an environment while simultaneously tracking agents and navigating within it. Existing research has focused on increasing the speed and quality of this mapping process, while reducing cost. In this paper we propose a simple framework for gathering location and gestural tracking of users via their mobile devices. We present an Internet of Things (IoT) framework for building creative environments with existing low-cost technologies. We will describe how to use this framework to design a shared gesture space. In this paper we focus on trying to solve an interfacing problem of interactive movement-based performances, where the audience watches performers, and interacting with the stage via embedded technology on stage/installation.

Original languageEnglish (US)
Title of host publicationMOCO 2019 - 6th International Conference on Movement and Computing
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450376549
StatePublished - Oct 10 2019
Event6th International Conference for Movement and Computing, MOCO 2019 - Tempe, United States
Duration: Oct 10 2019Oct 12 2019

Publication series

NameACM International Conference Proceeding Series


Conference6th International Conference for Movement and Computing, MOCO 2019
Country/TerritoryUnited States


  • Digital theater
  • Gesture tracking
  • Immersive environments
  • Interactive dance performance
  • Internet of Things
  • Mobile localization
  • Movement tracking
  • SLAM
  • Stage

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


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