A 2D Markerless Gait Analysis Methodology: Validation on Healthy Subjects
Joint Authors
Castelli, Andrea
Paolini, Gabriele
Della Croce, Ugo
Cereatti, A.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A 2D markerless technique is proposed to perform lower limb sagittal plane kinematic analysis using a single video camera.
A subject-specific, multisegmental model of the lower limb was calibrated with the subject in an upright standing position.
Ankle socks and underwear garments were used to track the feet and pelvis segments, whereas shank and thigh segments were tracked by means of reference points identified on the model.
The method was validated against a marker based clinical gait model.
The accuracy of the spatiotemporal parameters estimation was found suitable for clinical use (errors between 1% and 3% of the corresponding true values).
Comparison analysis of the kinematics patterns obtained with the two systems revealed high correlation for all the joints ( 0.82 < R 2 < 0.99 ) .
Differences between the joint kinematics estimates ranged from 3.9 deg to 6.1 deg for the hip, from 2.7 deg to 4.4 deg for the knee, and from 3.0 deg to 4.7 deg for the ankle.
The proposed technique allows a quantitative assessment of the lower limb motion in the sagittal plane, simplifying the experimental setup and reducing the cost with respect to traditional marker based gait analysis protocols.
American Psychological Association (APA)
Castelli, Andrea& Paolini, Gabriele& Cereatti, A.& Della Croce, Ugo. 2015. A 2D Markerless Gait Analysis Methodology: Validation on Healthy Subjects. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057826
Modern Language Association (MLA)
Castelli, Andrea…[et al.]. A 2D Markerless Gait Analysis Methodology: Validation on Healthy Subjects. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057826
American Medical Association (AMA)
Castelli, Andrea& Paolini, Gabriele& Cereatti, A.& Della Croce, Ugo. A 2D Markerless Gait Analysis Methodology: Validation on Healthy Subjects. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057826