NCT06544824

Accuracy Comparison: Optoelectronic Motion Capture and Markerless System

Accuracy of Markerless Motion Analysis in Comparison With Optoelectronic Motion Capture System

• Status: Active Not Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 25 (actual)
• Sponsor: IRCCS Eugenio Medea · Academic / Other
• Sex: All
• Age: 4 Years – 65 Years
• Healthy volunteers: Accepted

Summary

The purpose of this study was to assess the Openpose reliability to measure kinematics and spatiotemporal gait parameters and to evaluate the minimum technical requirements. This analysis used video and optoelectronic motion capture simultaneously recorded. We assessed more of 20 subject with different motor gait impairments

Detailed description

Marker-based Optical motion tracking is the gold standard in gait analysis, but today, markerless solutions are growing rapidly. Treatment of physical impairments could improve if supported with reliable motion capture. Moreover, the use of markerless technology offers numerous advantages for working with pediatric populations under various conditions. In this paper, we assess the Openpose reliability to measure kinematics and spatiotemporal gait parameters and to evaluate the minimum technical requirements., in a population of children with and without gait impairments. Validating markerless methods can open the way for new motion capture techniques and enhance the accessibility of kinematic measurements and improve the treatment of physical impairments.

Conditions

• Children, Adult
• Motor Disorders

Interventions

Type	Name	Description
OTHER	Measure gait spatiotemporal parameters and kinematics from optoelectronic system	The raw data acquired from motion capture system were processed with Smart Analyzer software (BTS Bioengineering, Milano, Italy). First, the 3D data were filtered and interpolated in case of missing data for short time. Then spatial-temporal parameters (cycle duration, cadence, gait speed, stance phase, swing phase, double-support phase, stride length and step width) and conventional kinematic parameters of traditional Davis marker-set protocols were computed.
OTHER	Measure gait spatiotemporal parameters and kinematics from markerless system	The two videos were elaborated using OpenPose that returns a set of 25 2D keypoints coordinates for body pose estimation for each video. Key-points were located in relevant body landmarks and it were used to determine the 2D Cartesian coordinates on the sagittal plane and on the frontal plane. The data calculated with routines were filtered and interpolated in case of missing data. With respect to kinematic parameters, the segment and joint angles were measured from the estimated feature points of each joint. Spatiotemporal gait parameters were calculated using successive heel strike and toe-off events.
OTHER	Quantify tip toe step during gait from kinematic	The kinematic features calculated are used to identify and count the number of tip toe steps during gait or standing

Timeline

• Start date: 2024-05-15
• Primary completion: 2026-09-24
• Completion: 2026-09-24
• First posted: 2024-08-09
• Last updated: 2026-02-27

Locations

1 site across 1 country: Italy