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A 2D markerless gait analysis methodology: validation on healthy subjects

Castelli, Andrea and Paolini, Gabriele and Cereatti, Andrea and Della Croce, Ugo (2015) A 2D markerless gait analysis methodology: validation on healthy subjects. Computational and Mathematical Methods in Medicine, Vol. 2015 (ID 186780), p. 11. ISSN 1748-670X. eISSN 1748-6718. Article.

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DOI: 10.1155/2015/186780

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Abstract

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 < R2 < 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.

Item Type:Article
ID Code:11003
Status:Published
Refereed:Yes
Uncontrolled Keywords:2D markerless technique, clinical gait model, kinematic analysis, sagittal plane
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/06 Bioingegneria elettronica e informatica
Divisions:001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze Politiche, Scienze della Comunicazione e Ingegneria dell'Informazione
Publisher:Hindawi Publishing Corporation
ISSN:1748-670X
eISSN:1748-6718
Copyright Holders:© 2015 Andrea Castelli et al.
Deposited On:16 Jun 2015 10:34

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