Concurrent validation of an inertial measurement system to quantify kicking biomechanics in four football codes

Blair, Stephanie; Duthie, Grant M.; Robertson, Sam; Hopkins, William G.; Ball, Kevin

doi:10.1016/j.jbiomech.2018.03.031

Cited by 91 publications

(109 citation statements)

References 45 publications

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“…The recruitment criteria were that they played pool/billiards/snooker for leisure fewer than 58,59 . The Xsens sensors shows high accuracy 34 , and the Xsens MVN system was used and validated in tracking real-world behaviour in many sports including football 60 , horse riding 61 , ski 62 and snowboarding 63 . The Xsens Angular Velocity Profile Analysis.…”

Section: Methodsmentioning

confidence: 99%

Motor learning in real-world pool billiards

Haar

Assel

Faisal

2019

Preprint

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24The neurobehavioral mechanisms of human motor-control and learning evolved in free 25 behaving, real-life settings, yet to date is studied in simplified lab-based settings. We demonstrate 26 the feasibility of real-world neuroscience, using wearables for naturalistic full-body motion-27 tracking and mobile brain-imaging, to study motor-learning in billiards. We highlight the 28 similarities between motor-learning in-the-wild and classic toy-tasks in well-known features, such 29 as multiple learning rates, and the relationship between task-related variability and motor learning. 30Studying in-the-wild learning enable looking at global observables of motor learning, as well as 31 relating learning to mechanisms deduced from reductionist models. The analysis of the velocity 32 profiles of all joints enabled in depth understanding of the structure of learning across the body. 33First, while most of the movement was done by the right arm, the entire body learned the task, as 34 evident by the decrease in both inter-and intra-trial variabilities of various joints across the body 35 over learning. Second, while over learning all subjects decreased their movement variability and 36 the variability in the outcome (ball direction), subjects who were initially more variable were also 37 more variable after learning, supporting the notion that movement variability is an individual trait. 38Lastly, when exploring the link between variability and learning over joints we found that only the 39 variability in the right elbow supination shows significant correlation to learning. This demonstrates 40 the relation between learning and variability: while learning leads to overall reduction in movement 41 variability, only initial variability in specific task relevant dimensions can facilitate faster learning. 42 43 Author Summary 44This study addresses a foundational problem in the neuroscience: studying the mechanisms 45 of motor control and learning in free behaving, real-life tasks, where our brains and bodies operate 46 in on a daily basis and which contains the richness of stimuli and responses for what our nervous 47 system evolved. We used the competitive sports of pool billiard to frame an unconstrained real-48 world skill learning experiment which is amenable to predictive modelling and understanding. Our 49 data-driven approach unfolds the structure and complexity of movement, variability, and motor-50 learning, highlighting that real-world motor-learning affects the whole body, changing motor-51 control from head to toe. Crucially, we are enabling novel hypothesis driven experimental 52 approaches to study behavior where it matters most -in real life settings. 53

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Section: Methodsmentioning

confidence: 99%

Motor learning in real-world pool billiards

Haar

Assel

Faisal

2019

Preprint

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“…It is expected that over time, more and more relevant physical performance indicators will be developed to track both external and internal load during match-play. Inertial measurement units have the potential to determine the mechanical load of the lower extremities but also capture technical performance indicators like ball control, passing and kicking (Blair et al 2018). Lab-on-a-chip development in healthcare can find its way to the sport field and quantify internal load based on skin temperature and sweat loss.…”

Section: Editorialmentioning

confidence: 99%

Performance analysis in elite football: all in the game?

Brink

Lemmink

2018

Science and Medicine in Football

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“…Recent developments in inertial measurement unit (IMU) based motion capture systems may provide a more feasible means of collecting 3D data than traditional 3D optical motion capture techniques (Blair, Duthie, Robertson, Hopkins, & Ball, 2018). Inertial measurement unit motion capture systems utilise a network of sensors located at various locations on the body, with the sensors secured either on the skin surface or on top of or beneath clothing.…”

Section: Biomechanical Analysismentioning

confidence: 99%

A systematic review of the biomechanical research methods used in strongman studies

Hindle

Lorimer

Winwood

et al. 2019

Sports Biomechanics

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As the sport of strongman is becoming increasingly popular, and such exercises are being commonly used by strength and conditioning coaches for a wide range of athletic groups, a greater understanding of the biomechanics of strongman exercises is warranted. To improve the quality of research, this systematic review summarised the research methodology used in biomechanical studies of strongman exercises and identified potential improvements to current approaches. A search of five databases found ten articles adherent to the predefined inclusion criteria. The studies assessed eight strongman exercises and included male participants of relatively similar body mass but varying training backgrounds. Due to the complexity of strongman exercises and the challenges in collecting advanced biomechanical data in the field, most studies used simplified measurement/analysis methods (e.g. 2D motion capture). Future strongman biomechanical studies should: assess under/un-researched strongman exercises; include a greater number of experienced and female strongman athletes; utilise more advanced (e.g. 3D motion capture and/or inertial sensor) technology so to provide a broader range and greater quality of data. Such approaches will provide strength and conditioning coaches, strongman coaches and athletes with a greater understanding of strongman exercises, thereby further improving exercise prescription, athlete performance and minimising risk of injury.

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Concurrent validation of an inertial measurement system to quantify kicking biomechanics in four football codes

Cited by 91 publications

References 45 publications

Motor learning in real-world pool billiards

Motor learning in real-world pool billiards

Performance analysis in elite football: all in the game?

A systematic review of the biomechanical research methods used in strongman studies

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