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Related Experiment Video

Updated: May 14, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
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Motion capture system using Wiimote motion sensors.

Simeon D Harbert1, Jay Zuerndorfer, Tushar Jaiswal

  • 1Georgia Tech Research Institute, Atlanta, GA 30332, USA. sim.harbert@gtri.gatech.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

This study shows that using multiple Wiimote MotionPlus devices can capture knee, hip, and back motion during lifting tasks. This method provides feasible kinematic data for ergonomic analysis.

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Area of Science:

  • Biomechanics
  • Ergonomics
  • Human-Computer Interaction

Background:

  • Accurate kinematic data is crucial for ergonomic assessments.
  • Traditional motion capture systems can be expensive and complex.
  • The Nintendo Wiimote MotionPlus offers a potentially low-cost alternative for motion tracking.

Purpose of the Study:

  • To evaluate the Wiimote MotionPlus system for capturing angular kinematic data.
  • To assess the feasibility of using multiple Wiimotes for analyzing lifting tasks.
  • To determine the utility of Wiimote-derived kinematic data in ergonomic analysis.

Main Methods:

  • Twenty-one subjects performed a standardized lifting task.
  • Four Wiimote MotionPlus devices were attached to the lower leg, upper leg, hip, and upper back.
  • Raw sensor data underwent filtering and normalization before angular data calculation.

Main Results:

  • The study successfully combined data from multiple Wiimotes.
  • Feasible angular kinematic data for the knee, hip, and back was obtained.
  • The system demonstrated potential for capturing motion during a lifting task.

Conclusions:

  • Combining data from multiple Wiimote MotionPlus systems is feasible.
  • This approach can yield kinematic data applicable to ergonomic evaluations.
  • The Wiimote system presents a viable option for accessible motion capture in ergonomics.