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Accuracy Comparison: Optoelectronic Motion Capture and Markerless System
Sponsor: IRCCS Eugenio Medea
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
Official title: Accuracy of Markerless Motion Analysis in Comparison With Optoelectronic Motion Capture System
Key Details
Gender
All
Age Range
4 Years - 65 Years
Study Type
OBSERVATIONAL
Enrollment
25
Start Date
2024-05-15
Completion Date
2026-09-24
Last Updated
2026-02-27
Healthy Volunteers
Yes
Conditions
Interventions
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.
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.
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
Locations (1)
IRCCS E. Medea
Bosisio Parini, Italy, Italy