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Using elements of game engine architecture to simulate sensor networks for eldercare.

Chad Godsey1, Marjorie Skubic

  • 1Computer Science Department, University of Missouri, Columbia, MO 65211, USA.

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Summary
This summary is machine-generated.

Creating realistic test data for real-time sensor networks is challenging. This study explores using game engine technology to simulate in-home sensor networks, simplifying test data generation and showing accurate motion sensor simulation.

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Area of Science:

  • Computer Science
  • Engineering
  • Robotics

Background:

  • Generating ground truth data for real-time sensor networks is labor-intensive.
  • Simulation offers a practical alternative for creating test data.
  • Game engine design principles can inform sensor network simulation.

Purpose of the Study:

  • To propose a vision for a simulated in-home sensor network.
  • To explore the application of game engine elements in building a sensor network simulator.
  • To validate the accuracy of the simulated motion sensor data.

Main Methods:

  • Leveraging game engine architecture for simulation development.
  • Implementing an in-home sensor network simulation environment.
  • Conducting validation tests comparing simulated and physical motion sensor data.

Main Results:

  • Demonstrated the feasibility of using game engines for sensor network simulation.
  • Achieved agreement between simulated and physical motion sensor data.
  • Provided a viable method for efficient test data generation.

Conclusions:

  • Game engine technology can significantly streamline the creation of test data for real-time sensor networks.
  • The proposed simulation approach shows promise for validating sensor network performance.
  • Further development can enhance the fidelity and applicability of simulated sensor environments.