Literature DB >> 29741985

Accuracy of human motion capture systems for sport applications; state-of-the-art review.

Eline van der Kruk1, Marco M Reijne1.   

Abstract

OBJECTIVE: Sport research often requires human motion capture of an athlete. It can, however, be labour-intensive and difficult to select the right system, while manufacturers report on specifications which are determined in set-ups that largely differ from sport research in terms of volume, environment and motion. The aim of this review is to assist researchers in the selection of a suitable motion capture system for their experimental set-up for sport applications. An open online platform is initiated, to support (sport)researchers in the selection of a system and to enable them to contribute and update the overview.
DESIGN: systematic review; Method: Electronic searches in Scopus, Web of Science and Google Scholar were performed, and the reference lists of the screened articles were scrutinised to determine human motion capture systems used in academically published studies on sport analysis.
RESULTS: An overview of 17 human motion capture systems is provided, reporting the general specifications given by the manufacturer (weight and size of the sensors, maximum capture volume, environmental feasibilities), and calibration specifications as determined in peer-reviewed studies. The accuracy of each system is plotted against the measurement range.
CONCLUSION: The overview and chart can assist researchers in the selection of a suitable measurement system. To increase the robustness of the database and to keep up with technological developments, we encourage researchers to perform an accuracy test prior to their experiment and to add to the chart and the system overview (online, open access).

Entities:  

Keywords:  3D analysis; Kinematics; accuracy; capture volume; measurement; movement; research design

Mesh:

Year:  2018        PMID: 29741985     DOI: 10.1080/17461391.2018.1463397

Source DB:  PubMed          Journal:  Eur J Sport Sci        ISSN: 1536-7290            Impact factor:   4.050


  66 in total

1.  Acute Effects of Warm-Up, Exercise and Recovery-Related Strategies on Assessments of Soccer Kicking Performance: A Critical and Systematic Review.

Authors:  Luiz H Palucci Vieira; Felipe B Santinelli; Christopher Carling; Eleftherios Kellis; Paulo R P Santiago; Fabio A Barbieri
Journal:  Sports Med       Date:  2021-04       Impact factor: 11.136

Review 2.  "To Tech or Not to Tech?" A Critical Decision-Making Framework for Implementing Technology in Sport.

Authors:  Johann Windt; Kerry MacDonald; David Taylor; Bruno D Zumbo; Ben C Sporer; David T Martin
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

3.  Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture.

Authors:  Scott A Stone; Quinn A Boser; T Riley Dawson; Albert H Vette; Jacqueline S Hebert; Patrick M Pilarski; Craig S Chapman
Journal:  Behav Res Methods       Date:  2022-09-09

4.  The Influence of Asymptomatic Hypermobility on Unanticipated Cutting Biomechanics.

Authors:  Ivana Hanzlíková; Jim Richards; Josie Athens; Kim Hébert-Losier
Journal:  Sports Health       Date:  2021-03-06       Impact factor: 3.843

5.  Gait Recognition Using Optical Motion Capture: A Decision Fusion Based Method.

Authors:  Li Wang; Yajun Li; Fei Xiong; Wenyu Zhang
Journal:  Sensors (Basel)       Date:  2021-05-17       Impact factor: 3.576

6.  An Evaluation of Motion Trackers with Virtual Reality Sensor Technology in Comparison to a Marker-Based Motion Capture System Based on Joint Angles for Ergonomic Risk Assessment.

Authors:  Jan P Vox; Anika Weber; Karen Insa Wolf; Krzysztof Izdebski; Thomas Schüler; Peter König; Frank Wallhoff; Daniel Friemert
Journal:  Sensors (Basel)       Date:  2021-05-01       Impact factor: 3.576

7.  A low-cost stand-alone platform for measuring motor behavior across developmental applications.

Authors:  Andrea Cavallo; Nathan C Foster; Karthikeyan Kalyanasundaram Balasubramanian; Andrea Merello; Giorgio Zini; Marco Crepaldi; Cristina Becchio
Journal:  iScience       Date:  2021-06-17

8.  Algorithm based on one monocular video delivers highly valid and reliable gait parameters.

Authors:  Arash Azhand; Sophie Rabe; Swantje Müller; Igor Sattler; Anika Heimann-Steinert
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

9.  Poor Motor Coordination Elicits Altered Lower Limb Biomechanics in Young Football (Soccer) Players: Implications for Injury Prevention through Wearable Sensors.

Authors:  Stefano Di Paolo; Stefano Zaffagnini; Nicola Pizza; Alberto Grassi; Laura Bragonzoni
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

Review 10.  Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review.

Authors:  Daniel Martinez-Marquez; Sravan Pingali; Kriengsak Panuwatwanich; Rodney A Stewart; Sherif Mohamed
Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

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