Literature DB >> 17307186

System and modelling errors in motion analysis: implications for the measurement of the elbow angle in cricket bowling.

Bruce C Elliott1, Jacqueline A Alderson, Eliot R Denver.   

Abstract

The system and modelling errors of two fundamentally different motion capture systems (opto-reflective vs. video-based) were tested under various conditions, to determine their ability to accurately measure flexion-extension of the elbow angle in cricket bowling. A mechanical arm was used for all testing, that enabled known elbow flexion-extension and abduction ("carry") angles to be manually set. The root mean squared (RMS) error of 0.6 degrees for the opto-reflective system (Vicon-612) was more accurate in reconstructing a known angle than the video-based system (Peak Motus) (RMS error 2.3 degrees ) in the laboratory, when the same mathematical procedure (model) was applied to calculate the elbow flexion-extension angle. When different models were applied to the raw marker trajectories collected using the video-based system, RMS was lowest for the external marker segmental cluster models (2.3 degrees ) compared with 9.4 degrees for the vector and 4.5 degrees for the projected vector approaches, where joint centres were visually approximated. Real world, field-based comparisons using the video-based system showed that occluding the arm and therefore the shoulder, elbow and wrist joint centre locations by placing a shirt on the arm, increased RMS error for both vector (7.8 degrees -9.0 degrees ) and projected vector (4.3 degrees -5.1 degrees ) modelling approaches.

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Year:  2007        PMID: 17307186     DOI: 10.1016/j.jbiomech.2006.12.012

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


  6 in total

Review 1.  Is pregnancy related pelvic girdle pain associated with altered kinematic, kinetic and motor control of the pelvis? A systematic review.

Authors:  Daniela Aldabe; Stephan Milosavljevic; Melanie Dawn Bussey
Journal:  Eur Spine J       Date:  2012-06-21       Impact factor: 3.134

2.  Key factors and timing patterns in the tennis forehand of different skill levels.

Authors:  Johannes Landlinger; Stefan Lindinger; Thomas Stöggl; Herbert Wagner; Erich Müller
Journal:  J Sports Sci Med       Date:  2010-12-01       Impact factor: 2.988

3.  The relationship between patellofemoral and tibiofemoral morphology and gait biomechanics following arthroscopic partial medial meniscectomy.

Authors:  Alasdair R Dempsey; Yuanyuan Wang; Jonas B Thorlund; Peter M Mills; Tim V Wrigley; Kim L Bennell; Ben R Metcalf; Fahad Hanna; Flavia M Cicuttini; David G Lloyd
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-06-07       Impact factor: 4.342

4.  Comparison of Motion Analysis Systems in Tracking Upper Body Movement of Myoelectric Bypass Prosthesis Users.

Authors:  Sophie L Wang; Gene Civillico; Wesley Niswander; Kimberly L Kontson
Journal:  Sensors (Basel)       Date:  2022-04-12       Impact factor: 3.847

5.  Movement characteristics during customized exergames after total knee replacement in older adults.

Authors:  Maarit Janhunen; Antti Löppönen; Simon Walker; Taavi Punsár; Niina Katajapuu; Sulin Cheng; Juha Paloneva; Konsta Pamilo; Mika Luimula; Raija Korpelainen; Timo Jämsä; Ari Heinonen; Eeva Aartolahti
Journal:  Front Sports Act Living       Date:  2022-07-27

Review 6.  A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System.

Authors:  Steffi L Colyer; Murray Evans; Darren P Cosker; Aki I T Salo
Journal:  Sports Med Open       Date:  2018-06-05
  6 in total

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