ArticleSensors (Basel, Switzerland)2022
Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
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The trial behind it
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Who cites it
51 citing papers in PubMed.
- Running Velocity as a Methodological Factor in Footwear Testing: Fixed Versus Self-Selected Conditions.Bioengineering (Basel, Switzerland) · 2026Article
- Multimodal algorithmic fusion model for physical education assessment: spatiotemporal comparison of inertial measurement units and traditional scales.BMC sports science, medicine & rehabilitation · 2026Article
- Estimation of the Knee Joint with Single-Camera Smartphone.Sensors (Basel, Switzerland) · 2026Article
- IMU-Based Wearable Insoles in Clinical Settings: Key Parameters Differentiating Clinical and Non-Clinical Populations.Sensors (Basel, Switzerland) · 2026Article
- Do Training Load Metrics Agree? A Comparison of Session Rate of Perceived Exertion, Physiological and Biomechanical Load in Outdoor Running.Sports medicine - open · 2026Article
- Deep Learning 1D-CNN-Based Ground Contact Detection in Sprint Acceleration Using Inertial Measurement Units.Sensors (Basel, Switzerland) · 2026Article
- Effect of various carbon plate running shoes on peak tibial accelerations, lateral asymmetry and residual shock in running.Frontiers in sports and active living · 2026Article
- IMU-based gait analysis methods: a systematic review of techniques for different body locations.Frontiers in sports and active living · 2026Review
- Quality Assessment of a Foot-Mounted Inertial Measurement Unit System to Measure On-Field Spatiotemporal Acceleration Metrics.Sensors (Basel, Switzerland) · 2025Article
- Mechanisms, Economy, and Performance of Advanced Footwear Technology in Endurance Running-A Review.Muscles (Basel, Switzerland) · 2025Review
- Differentiating post-stroke patients from healthy individuals via vision-based skeleton-optical fusion.Journal of neuroengineering and rehabilitation · 2025Article
- Gait Variability and Spatiotemporal Parameters During Emotion-Induced Walking: Assessment with Inertial Measurement Units.Sensors (Basel, Switzerland) · 2025Article
- Comparison of Smart Bands with MEMS and Motion Tracking Systems Used in Running.Sensors (Basel, Switzerland) · 2025Article
- Smartphone-Based Analysis for Early Detection of Aging Impact on Gait and Stair Negotiation: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2025Article
- The running gait analysis technology: A comprehensive systematic literature review.Journal of orthopaedics · 2025Review
- Evaluating Sparse Inertial Measurement Unit Configurations for Inferring Treadmill Running Motion.Sensors (Basel, Switzerland) · 2025Article
- Utilising Inertial Measurement Units and Force-Velocity Profiling to Explore the Relationship Between Hamstring Strain Injury and Running Biomechanics.Sensors (Basel, Switzerland) · 2025Article
- Impact of Running Clothes on Accuracy of Smartphone-Based 2D Joint Kinematic Assessment During Treadmill Running Using OpenPifPaf.Sensors (Basel, Switzerland) · 2025Article
- Validation and Analysis of Recreational Runners' Kinematics Obtained from a Sacral IMU.Sensors (Basel, Switzerland) · 2025Article
- Estimating braking and propulsion forces during overground running in and out of the lab.PloS one · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inertial measurement units (IMUs) can be used to monitor running biomechanics in real-world settings, but IMUs are often used within a laboratory. The purpose of this scoping review was to describe how IMUs are used to record running biomechanics in both laboratory and real-world conditions. We included peer-reviewed journal articles that used IMUs to assess gait quality during running. We extracted data on running conditions (indoor/outdoor, surface, speed, and distance), device type and location, metrics, participants, and purpose and study design. A total of 231 studies were included. Most (72%) studies were conducted indoors; and in 67% of all studies, the analyzed distance was only one step or stride or <200 m. The most common device type and location combination was a triaxial accelerometer on the shank (18% of device and location combinations). The most common analyzed metric was vertical/axial magnitude, which was reported in 64% of all studies. Most studies (56%) included recreational runners. For the past 20 years, studies using IMUs to record running biomechanics have mainly been conducted indoors, on a treadmill, at prescribed speeds, and over small distances. We suggest that future studies should move out of the lab to less controlled and more real-world environments.
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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.