ArticleFrontiers in sports and active living2022
Examination of a foot mounted IMU-based methodology for a running gait assessment.
Article in Frontiers in sports and active living, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Quality Assessment of a Foot-Mounted Inertial Measurement Unit System to Measure On-Field Spatiotemporal Acceleration Metrics.Sensors (Basel, Switzerland) · 2025Article
- Running Parameter Analysis in 400 m Sprint Using Real-Time Kinematic Global Navigation Satellite Systems.Sensors (Basel, Switzerland) · 2025Article
- Improved running gait parameter estimation from single foot-mounted IMU data based on refined event detection.Frontiers in bioengineering and biotechnology · 2025Article
- Accelerations and EMG Differences Between Isocaloric High-Incline Walking and Level-Grade Jogging.International journal of exercise science · 2025Article
- Instrumenting Parkrun: Usefulness and Validity of Inertial Sensors.Sensors (Basel, Switzerland) · 2024Article
- Parameterization of Biomechanical Variables through Inertial Measurement Units (IMUs) in Occasional Healthy Runners.Sensors (Basel, Switzerland) · 2024Article
- Article
- IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring.Sensors (Basel, Switzerland) · 2023Review
- Accuracy and Interpretation of the Acceleration from an Inertial Measurement Unit When Applied to the Sprint Performance of Track and Field Athletes.Sensors (Basel, Switzerland) · 2023Article
- Internet-of-Things-Enabled Markerless Running Gait Assessment from a Single Smartphone Camera.Sensors (Basel, Switzerland) · 2023Article
- Wearables for running gait analysis: A study protocol.PloS one · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gait assessment is essential to understand injury prevention mechanisms during running, where high-impact forces can lead to a range of injuries in the lower extremities. Information regarding the running style to increase efficiency and/or selection of the correct running equipment, such as shoe type, can minimize the risk of injury, e.g., matching a runner's gait to a particular set of cushioning technologies found in modern shoes (neutral/support cushioning). Awareness of training or selection of the correct equipment requires an understanding of a runner's biomechanics, such as determining foot orientation when it strikes the ground. Previous work involved a low-cost approach with a foot-mounted inertial measurement unit (IMU) and an associated zero-crossing-based methodology to objectively understand a runner's biomechanics (in any setting) to learn about shoe selection. Here, an investigation of the previously presented ZC-based methodology is presented only to determine general validity for running gait assessment in a range of running abilities from novice (8 km/h) to experienced (16 km/h+). In comparison to Vicon 3D motion tracking data, the presented approach can extract pronation, foot strike location, and ground contact time with good [ICC
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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.