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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

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

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

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.