title: A 2D Markerless Gait Analysis Methodology: Validation on Healthy Subjects.
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 < 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.
authors.affiliation: Department of Information Engineering, Political Sciences and Communication Sciences, University of Sassari, 07100 Sassari, Italy ; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari, Italy.
authors.forename: Andrea
authors.identifier: 0000-0003-1960-5969
authors.initials: A
authors.lastname: Castelli
authors.affiliation: Department of Information Engineering, Political Sciences and Communication Sciences, University of Sassari, 07100 Sassari, Italy ; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari, Italy.
authors.forename: Gabriele
authors.identifier: 0000-0002-3352-8296
authors.initials: G
authors.lastname: Paolini
authors.affiliation: Department of Information Engineering, Political Sciences and Communication Sciences, University of Sassari, 07100 Sassari, Italy ; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari, Italy.
authors.forename: Andrea
authors.identifier: 0000-0002-7276-5382
authors.initials: A
authors.lastname: Cereatti
authors.affiliation: Department of Information Engineering, Political Sciences and Communication Sciences, University of Sassari, 07100 Sassari, Italy ; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari, Italy.
authors.forename: Ugo
authors.identifier: 0000-0001-5151-7403
authors.initials: U
authors.lastname: Della Croce
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena; D019295:Computational Biology; D005684:Gait / Q000502:physiology*; D064368:Healthy Volunteers; D006801:Humans; D007596:Joints / Q000502:physiology; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D014741:Video Recording / Q000379:methods; D016138:Walking / Q000502:physiology