Literature DB >> 30914189

Full-body motion assessment: Concurrent validation of two body tracking depth sensors versus a gold standard system during gait.

Maria do Carmo Vilas-Boas1, Hugo Miguel Pereira Choupina1, Ana Patrícia Rocha2, José Maria Fernandes2, João Paulo Silva Cunha3.   

Abstract

RGB-D cameras provide 3-D body joint data in a low-cost, portable and non-intrusive way, when compared with reference motion capture systems used in laboratory settings. In this contribution, we evaluate the validity of both Microsoft Kinect versions (v1 and v2) for motion analysis against a Qualisys system in a simultaneous protocol. Two different walking directions in relation to the Kinect (towards - WT, and away - WA) were explored. For each gait trial, measures related with all body parts were computed: velocity of all joints, distance between symmetrical joints, and angle at some joints. For each measure, we compared each Kinect version and Qualisys by obtaining the mean true error and mean absolute error, Pearson's correlation coefficient, and optical-to-depth ratio. Although both Kinect v1 and v2 and/or WT and WA data present similar accuracy for some measures, better results were achieved, overall, when using WT data provided by the Kinect v2, especially for velocity measures. Moreover, the velocity and distance presented better results than angle measures. Our results show that both Kinect versions can be an alternative to more expensive systems such as Qualisys, for obtaining distance and velocity measures as well as some angles metrics (namely the knee angles). This conclusion is important towards the off-lab non-intrusive assessment of motor function in different areas, including sports and healthcare.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3-D motion analysis; Gait; Kinect; Qualisys; RGB-D camera; System validity

Mesh:

Year:  2019        PMID: 30914189     DOI: 10.1016/j.jbiomech.2019.03.008

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

1.  A Game-Based Rehabilitation System for Upper-Limb Cerebral Palsy: A Feasibility Study.

Authors:  Mohammad I Daoud; Abdullah Alhusseini; Mostafa Z Ali; Rami Alazrai
Journal:  Sensors (Basel)       Date:  2020-04-24       Impact factor: 3.576

2.  Validation of a Single RGB-D Camera for Gait Assessment of Polyneuropathy Patients.

Authors:  Maria do Carmo Vilas-Boas; Ana Patrícia Rocha; Hugo Miguel Pereira Choupina; Márcio Neves Cardoso; José Maria Fernandes; Teresa Coelho; João Paulo Silva Cunha
Journal:  Sensors (Basel)       Date:  2019-11-12       Impact factor: 3.576

3.  Equimetrix Device: Criteria Based Validation and Reliability Analysis of the Center of Mass and Base of Support of a Human Postural Assessment System.

Authors:  Pedro Fonseca; Manoela Sousa; Ricardo Sebastião; Márcio Goethel; Pierre Barralon; Igone Idigoras; Filipa Sousa; Leandro Machado; João Paulo Vilas-Boas
Journal:  Sensors (Basel)       Date:  2021-01-07       Impact factor: 3.576

Review 4.  A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport.

Authors:  Cortney Armitano-Lago; Dominic Willoughby; Adam W Kiefer
Journal:  Front Sports Act Living       Date:  2022-01-25

5.  Temporal Synergies Detection in Gait Cyclograms Using Wearable Technology.

Authors:  Marija M Gavrilović; Milica M Janković
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

6.  Agrast-6: Abridged VGG-Based Reflected Lightweight Architecture for Binary Segmentation of Depth Images Captured by Kinect.

Authors:  Karolis Ryselis; Tomas Blažauskas; Robertas Damaševičius; Rytis Maskeliūnas
Journal:  Sensors (Basel)       Date:  2022-08-24       Impact factor: 3.847

7.  Enhancing motion tracking accuracy of a low-cost 3D video sensor using a biomechanical model, sensor fusion, and deep learning.

Authors:  Shahar Agami; Raziel Riemer; Sigal Berman
Journal:  Front Rehabil Sci       Date:  2022-08-16

8.  Towards Human Motion Tracking Enhanced by Semi-Continuous Ultrasonic Time-of-Flight Measurements.

Authors:  Silje Ekroll Jahren; Niels Aakvaag; Frode Strisland; Andreas Vogl; Alessandro Liberale; Anders E Liverud
Journal:  Sensors (Basel)       Date:  2021-03-24       Impact factor: 3.576

9.  Reliability of IMU-Derived Temporal Gait Parameters in Neurological Diseases.

Authors:  Clint Hansen; Christian Ortlieb; Robbin Romijnders; Elke Warmerdam; Julius Welzel; Johanna Geritz; Walter Maetzler
Journal:  Sensors (Basel)       Date:  2022-03-16       Impact factor: 3.576

  9 in total

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