ArticleSensors (Basel, Switzerland)2020
Gait Analysis in a Box: A System Based on Magnetometer-Free IMUs or Clusters of Optical Markers with Automatic Event Detection.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- Automatic gait EVENT detection in older adults during perturbed walking.Journal of neuroengineering and rehabilitation · 2025Article
- L-GABS: Parametric Modeling of a Generic Active Lumbar Exoskeleton for Ergonomic Impact Assessment.Sensors (Basel, Switzerland) · 2025Article
- A dataset of optical camera and IMU sensor derived kinematics of thirty transtibial prosthesis wearers.Scientific data · 2024Article
- BackMov: Individualized Motion Capture-Based Test to Assess Low Back Pain Mobility Recovery after Treatment.Sensors (Basel, Switzerland) · 2024Article
- Classification of the Pathological Range of Motion in Low Back Pain Using Wearable Sensors and Machine Learning.Sensors (Basel, Switzerland) · 2024Article
- KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries.Sensors (Basel, Switzerland) · 2023Article
- Validity and Reliability of Inertial Measurement Unit (IMU)-Derived 3D Joint Kinematics in Persons Wearing Transtibial Prosthesis.Sensors (Basel, Switzerland) · 2023Article
- Three-Dimensional Lower-Limb Kinematics from Accelerometers and Gyroscopes with Simple and Minimal Functional Calibration Tasks: Validation on Asymptomatic Participants.Sensors (Basel, Switzerland) · 2022Article
- Individuals with a COVID-19 history exhibit asymmetric gait patterns despite full recovery.Journal of biomechanics · 2022Article
- Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.Frontiers in human neuroscience · 2022Review
- Forces: A Motion Capture-Based Ergonomic Method for the Today's World.Sensors (Basel, Switzerland) · 2021Article
- Treadmill-to-Overground Mapping of Marker Trajectory for Treadmill-Based Continuous Gait Analysis.Sensors (Basel, Switzerland) · 2021Article
- Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors.Frontiers in digital health · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gait analysis based on full-body motion capture technology (MoCap) can be used in rehabilitation to aid in decision making during treatments or therapies. In order to promote the use of MoCap gait analysis based on inertial measurement units (IMUs) or optical technology, it is necessary to overcome certain limitations, such as the need for magnetically controlled environments, which affect IMU systems, or the need for additional instrumentation to detect gait events, which affects IMUs and optical systems. We present a MoCap gait analysis system called Move Human Sensors (MH), which incorporates proposals to overcome both limitations and can be configured via magnetometer-free IMUs (MH-IMU) or clusters of optical markers (MH-OPT). Using a test-retest reliability experiment with thirty-three healthy subjects (20 men and 13 women, 21.7 ± 2.9 years), we determined the reproducibility of both configurations. The assessment confirmed that the proposals performed adequately and allowed us to establish usage considerations. This study aims to enhance gait analysis in daily clinical practice.
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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.