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WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control.

Quanying Liu1, Yorie Nakahira2, Zhichao Liang3

  • 1Department of Biomedical Engineering, Southern University of Science and Technology; Division of Engineering and Applied Science, California Institute of Technology; Neuroscience Center, Huntington Medical Research Institutes; liuqy@sustech.edu.cn.

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Summary
This summary is machine-generated.

This study introduces WheelCon, an affordable, open-source platform for sensorimotor control research. It allows manipulation of feedback loop components in simulated tasks, aiding neuroscience and control engineering.

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Area of Science:

  • Neuroscience
  • Control Engineering
  • Human-Computer Interaction

Background:

  • Feedback control theory is widely used to model human sensorimotor control.
  • Existing experimental platforms lack the ability to manipulate key feedback loop components.
  • There is a need for accessible, flexible platforms for sensorimotor research.

Purpose of the Study:

  • Introduce WheelCon, an open-source experimental platform for sensorimotor control research.
  • Provide a flexible and cost-effective tool for manipulating feedback loops.
  • Facilitate research in sensorimotor neuroscience and control engineering education.

Main Methods:

  • Developed an open-source platform, WheelCon, using a computer, display, and force feedback steering wheel.
  • Simulated a mountain biking task with adjustable disturbances, delay, and data rate in feedback loops.
  • Illustrated the platform's graphical user interface, demo inputs/outputs, and game design capabilities.

Main Results:

  • WheelCon successfully simulates sensorimotor tasks with manipulable feedback loop parameters.
  • Experimental results from demo games align with the basic feedback model predictions.
  • The platform is demonstrated to be cheap, user-friendly, and programmable.

Conclusions:

  • WheelCon offers a novel, accessible solution for studying human sensorimotor control.
  • The platform's flexibility supports diverse research manipulations in feedback control.
  • WheelCon is valuable for both advanced sensorimotor neuroscience research and educational purposes.