The Use of Artificial Intelligence (AI) for Gait Analysis

March 1, 2024 updated by: Gdansk University of Physical Education and Sport

Possibility of Using a Mobile Application for Three-plane Gait Analysis.

The main purpose of this study will be to assess the consistency and reliability of measurements made using the Vicon three-plane gait analysis device (Vicon Motion Capture System Ltd, Oxford, UK) and a mobile application based on image recognition technology with the help of artificial intelligence.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

The study will involve 50 healthy, physically active people aged 20-25. The participants will be subjected to movement analysis using the Vicon three-plane gait analysis system using reflective markers. Each of them will make 6 walks at their natural pace along a 10 m long path, during which a three-plane image of their walking will be recorded by the Vicon system. Additionally, during the examination, video recording of the full gait cycle in the sagittal plane from both sides, in the front plane from both sides and at an angle of 30, 45 and 60 degrees will be made using a smartphone camera. The recorded gait cycle using the camera will be analyzed in an image recognition application, which will generate angular values of the lower limb joints. First, the values generated by the Vicon system and the application from the sagittal plane recording will be compared. Then, the consistency of the values generated by the application from the recordings in the sagittal plane on both sides for the same lower limb will be checked. The last step will be to compare the compliance of the angular values from the Vicon system with the data generated in the application from recordings at angles of 60, 45, 30 and 0 degrees.

Study Type

Observational

Enrollment (Estimated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • Poland
    • Pomorskie
      • Gdańsk, Pomorskie, Poland, 80-336
        • Gdansk University of Physical Education and Sport

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Students of the Academy of Physical Education and Sport in Gdańsk,

Description

Inclusion Criteria:

  • healthy people aged 20-25 years

Exclusion Criteria:

  • orthopaedic disease
  • neurological disease
  • rheumatological disease
  • pain in lower limbs in the last 6 months
  • pain in lumbar spine in the last 6 months
  • surgeries of lower limbs in the last 6 months
  • surgeries of spine in the last 6 months
  • musculoskeletal injuries in the lower limbs in the last 6 months
  • musculoskeletal injuries in the lumbar spine in the last 6 months
  • overweight and obesity, determined on the basis of the BMI value

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Gait analysis by the Vicon system
Time Frame: 45 minutes
To perform gait analysis, it is necessary to attach reflective markers to the subject at specific anthropometric points. Participants will be asked to walk barefoot in a relaxed manner at a self-selected comfort speed through a 10-meter path (6 repetitions of walking). Each passage through the path will be recorded using the Vicon three-plane gait assessment system, which generates angular values of the ankle, knee and hip joints (degree).
45 minutes
Gait analysis by the mobile image recognition application
Time Frame: 45 minutes
During the gait analysis using the Vicon system, video recording of the full gait cycle in the sagittal plane from both sides, in the front plane from both sides and at an angle of 30, 45 and 60 degrees will be made using a smartphone camera. The recorded gait cycle using the camera will be analyzed in an image recognition application, which will generate angular values of the lower limb joints (degree).
45 minutes

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Gdansk University of Physical Education and Sport

Investigators

  • Study Chair: Paulina W Ewertowska, PhD, Gdansk University of Physical Education and Sport

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

May 1, 2024

Primary Completion (Estimated)

July 1, 2024

Study Completion (Estimated)

August 1, 2024

Study Registration Dates

First Submitted

February 19, 2024

First Submitted That Met QC Criteria

February 28, 2024

First Posted (Actual)

March 1, 2024

Study Record Updates

Last Update Posted (Estimated)

March 4, 2024

Last Update Submitted That Met QC Criteria

March 1, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • AWFiS/2023_5_PE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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