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Related Experiment Video

Updated: May 14, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Smart Wheelchair and Sensor System for Tracking Performance and Accessibility in Urban Environments.

Franz Konstantin Fuss1,2, Adin Ming Tan1, Oren Tirosh3

  • 1Chair of Biomechanics, Faculty of Engineering Science, University of Bayreuth, D-95447 Bayreuth, Germany.

Sensors (Basel, Switzerland)
|May 13, 2026
PubMed
Summary

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This summary is machine-generated.

A new sensor system using inertial measurement units (IMU) and GPS monitors wheelchair user mobility and posture. Real-world data showed course conditions significantly influenced speed and seating pressure distribution.

Area of Science:

  • Biomechanics and Rehabilitation Engineering
  • Human-Computer Interaction
  • Mobility and Accessibility Studies

Background:

  • Wheelchair users experience mobility limitations due to medical conditions and urban accessibility barriers.
  • Current methods for assessing wheelchair user performance lack objective, real-world data capture.
  • Need for non-invasive, cost-effective systems to monitor wheelchair mobility and user posture.

Purpose of the Study:

  • To introduce and evaluate a novel sensor system for monitoring wheelchair user mobility and posture.
  • To assess the influence of real-world course conditions on wheelchair speed and center of pressure (COP).
  • To provide objective motion data for future wheelchair design and rehabilitation research.

Main Methods:

  • A pilot study utilized a sensor system integrating an inertial measurement unit (IMU), GPS, and a pressure-measuring seat.
Keywords:
GPSassistive technologycentre of pressureinertial measurement unit (IMU)pressure sensing seat matpropulsionreal-world kinematic analysisvelocitywheelchair biomechanics

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Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
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Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

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Last Updated: May 14, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
08:55

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

  • Seven participants navigated an 800-meter outdoor course with 13 distinct sections.
  • Real-time data on distance, speed, and center of pressure (COPx, COPy) were recorded and analyzed.

    • Main Results:

    • Average wheelchair speed was 1.24 m/s, with peak speeds up to 2.67 m/s.
    • Center of pressure (COP) fluctuated significantly (average 25 mm in x and y directions).
    • Course conditions demonstrated significant effects on speed and COP, with strong agreement among participants (Kendall's W = 0.7857).

    Conclusions:

    • The developed sensor system effectively captures objective motion data for wheelchair users in real-world settings.
    • Course conditions significantly impact wheelchair mobility parameters, highlighting the importance of accessible urban design.
    • This cost-effective system offers potential for advancing wheelchair design and rehabilitation strategies, pending clinical trials with mobility-impaired individuals.