ArticleSensors (Basel, Switzerland)2023
Validation of Inertial Sensors to Evaluate Gait Stability.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Predicting stride time variability from waist-mounted IMU data using machine learning: toward non-invasive gait stability monitoring in endurance running.BMC sports science, medicine & rehabilitation · 2026Article
- Estimating and interpreting how humans prioritize multiple movement goals during walking.Journal of neuroengineering and rehabilitation · 2026Article
- Smartphone-Based Markerless Motion Capture for Spatiotemporal Gait Assessment: Applied Within-Session Reliability and Comparability of OpenCap Versus OptoGait.Sensors (Basel, Switzerland) · 2026Article
- Multimodal inverse kinematics significantly improves IMU-based biomechanical analyses.Scientific reports · 2025Article
- Pilot Study: Step Width Estimation with Body-Worn Magnetoelectric Sensors.Sensors (Basel, Switzerland) · 2025Article
- Gait Instability and Compensatory Mechanisms in Parkinson's Disease Patients With Camptocormia: An Exploratory Study.Journal of movement disorders · 2025Article
- A Magnetoelectric Distance Estimation System for Relative Human Motion Tracking.Sensors (Basel, Switzerland) · 2025Article
- Prediction of Margin of Gait Stability by Using Six-DoF Motion of Pelvis.Sensors (Basel, Switzerland) · 2024Article
- Utilizing Inertial Measurement Units for Detecting Dynamic Stability Variations in a Multi-Condition Gait Experiment.Sensors (Basel, Switzerland) · 2024Article
- Validation of a Biomechanical Injury and Disease Assessment Platform Applying an Inertial-Based Biosensor and Axis Vector Computation.Electronics · 2023Article
- Modified stepping behaviour during outdoor winter walking increases resistance to forward losses of stability.Scientific reports · 2023Article
- Effect of an exosuit on kinematics in individuals with incomplete spinal cord injury.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The portability of wearable inertial sensors makes them particularly suitable for measuring gait in real-world walking situations. However, it is unclear how well inertial sensors can measure and evaluate gait stability compared to traditional laboratory-based optical motion capture. This study investigated whether an inertial sensor-based motion-capture suit could accurately assess gait stability. Healthy adult participants were asked to walk normally, with eyes closed, with approximately twice their normal step width, and in tandem. Their motion was simultaneously measured by inertial measurement units (IMU) and optical motion capture (Optical). Gait stability was assessed by calculating the margin of stability (MoS), short-term Lyapunov exponents, and step variability, along with basic gait parameters, using each system. We found that IMUs were able to detect the same differences among conditions as Optical for all but one of the measures. Bland-Altman and intraclass correlation (ICC) analysis demonstrated that mediolateral parameters (step width and mediolateral MoS) were measured less accurately by IMUs compared to their anterior-posterior equivalents (step length and anterior-posterior MoS). Our results demonstrate that IMUs can be used to evaluate gait stability through detecting changes in stability-related measures, but that the magnitudes of these measures might not be accurate or reliable, especially in the mediolateral direction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.