Gait data collection using wearable sensors and motion capture to test gait events
Official title: Training and Testing Database for IMU Based Gait Analysis Methods
Run by Vrije Universiteit Brussel · NCT07236008 · Data updated 2026-11-12
This study tests how well wearable IMU sensors can detect gait events by comparing them to gold-standard motion capture in healthy adults.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 65 Years |
| Sex | All |
| Enrollment | 150 (estimated) |
| Sponsor | Vrije Universiteit Brussel Academic / other |
| Locations | 1 site (Brussels, Belgium) |
| Status | Recruiting |
| Started | December 12, 2025 |
| Main results expected | December 31, 2029 |
| Study ends | December 31, 2029 |
| Registry record updated | August 19, 2026 |
| Trial ID | NCT07236008 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Healthy adults aged 18–65 without recent lower-limb pain, injury, or surgery, able to understand instructions in Dutch, English, or French.
✕Probably not a fit
Individuals with motor impairments or conditions that affect walking may not benefit from IMU-based gait event detection validated in healthy subjects.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Researchers will collect synchronized IMU data from a sacrum-mounted sensor while participants walk at various speeds on a 10-meter path, with Vicon motion capture and video/force plate data used as ground truth. The project proceeds in three phases: validating and refining gait-event detections from Vicon using additional data, developing and testing deep learning methods to detect events from IMU data, and analyzing how timing differences in events affect basic gait measures. The goal is to create a high-quality, generalizable dataset and to assess whether IMU-based systems can provide reliable gait analysis. The study is conducted at BRRC's motion analysis lab with healthy adult volunteers.
Why it matters
Potential benefit: If successful, the work could enable more accurate and accessible gait analysis using wearable sensors in clinical and research settings.
How similar studies have gone: Previous work shows promise in IMU-based gait event detection, but this study emphasizes rigorous ground-truth validation and diverse data to improve generalizability.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Healthy subjects with no motor impairments that disrupt the walking pattern. * No history of pain in the lower limbs in the past 6 months. * No history of lower limbs injuries/surgeries in the past 6 months. * Language: Dutch and/or English and/or French speakers. * Age 18-65 years old * Subjects must be able to understand the instructions and to answer questions. Additionally, they should be able to; signal pain, fear, discomfort; give inform consent. Exclusion Criteria: * Persons with comorbidity that could hinder the study (e.g.: unstable cardiovascular system disorders, lung disorders, severe osteoporosis). * Individuals with metal implants or skin conditions that would make sensor or marker placement difficult.
Where it's running
-
Faculty of Enginnering, ETRO department
Brussels, Belgium, Belgium Recruiting
Study contacts
- Study coordinator: Redona Brahimetaj, Doctor of Engineering Sciences
- Email: redona.brahimetaj@vub.be
- Phone: 0032465597448
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.