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Inertial sensor-based methods in walking speed estimation: a systematic review.

Shuozhi Yang1, Qingguo Li

  • 1Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON K7L 3N6, Canada. yangs@me.queensu.ca

Sensors (Basel, Switzerland)
|July 11, 2012
PubMed
Summary
This summary is machine-generated.

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Inertial sensors like accelerometers and gyroscopes can estimate walking speed for clinical gait analysis. This review categorizes current methods for improved ambulation assessment.

Area of Science:

  • Biomechanics and Biomedical Engineering
  • Gait Analysis and Rehabilitation Technology

Background:

  • Self-selected walking speed is a key metric in clinical gait assessments.
  • Inertial sensors (accelerometers, gyroscopes) are increasingly used to measure walking speed.
  • Miniature inertial sensor technology has advanced, reducing cost and improving performance.

Purpose of the Study:

  • To systematically review and categorize current methods for estimating walking speed using inertial sensors.
  • To understand the state-of-the-art in inertial sensor-based gait analysis.

Main Methods:

  • Systematic literature review conducted across PubMed, ISI Web of Knowledge, SportDiscus, and IEEE Xplore.
  • Inclusion of 16 journal articles and conference papers focused on inertial sensor-based walking speed estimation.
Keywords:
ambulatorybiomechanicsgait segmentationinertial sensorsreviewspatio-temporal parameterswalking speed

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Last Updated: May 20, 2026

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  • Categorization of reviewed methods based on sensor specifications, attachment sites, experimental designs, and algorithms.

    • Main Results:

    • Identified diverse approaches in sensor types, placement, and experimental setups.
    • Analyzed various algorithms employed for walking speed estimation from inertial sensor data.
    • Highlighted the growing trend and research interest in this field over the past two decades.

    Conclusions:

    • Inertial sensor-based walking speed estimation is a rapidly advancing field with diverse methodologies.
    • Further research and standardization in sensor application and algorithms are beneficial for clinical translation.
    • This review provides a comprehensive overview to guide future development in gait analysis technology.