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Introduction to Sports Biomechanics: Analysing Human Movement ...

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IDENTIFYING CRITICAL FEATURES OF A MOVEMENT<br />

Much of our work as movement analysts involves the study and evaluation of how<br />

sports skills are performed. To analyse the observed movement ‘technique’, we need<br />

<strong>to</strong> identify ‘critical features’ of the movement. These features should be crucial <strong>to</strong><br />

improving performance of a certain skill or reducing the injury risk in performing that<br />

skill – sometimes both. For a qualitative biomechanical analyst, this means being able <strong>to</strong><br />

observe those features of the movement; for the quantitative analyst, this requires<br />

measuring those features and often, further mathematical analysis (Chapters 4 <strong>to</strong> 6).<br />

Identification of these critical features is probably the most important task facing a<br />

qualitative or quantitative analyst, and we will look at several approaches <strong>to</strong> this task in<br />

this section. None is foolproof but all are infinitely better at identifying these crucial<br />

elements of a skill than an unstructured approach. Sometimes it can be helpful <strong>to</strong> define<br />

a ‘scale of correctness’ for critical features, for example poor = 1 <strong>to</strong> perfect = 5, or a<br />

‘range of correctness’, such as ‘wrist above elbow but below shoulder’.<br />

The ‘ideal performance’ or ‘elite athlete template’ approach<br />

This involves devising a set of critical features identified from an ‘ideal’ (sometimes<br />

called a ‘model’) performance, often that of an elite performer, hence the alternative<br />

name. This approach has nothing <strong>to</strong> recommend it except, for a lazy analyst, its<br />

minimal need for creative thought. It assumes that the ideal or elite performance is<br />

applicable <strong>to</strong> the person or persons for whom the analyst is performing his or her<br />

analysis. There is now wide agreement among movement analysts that there is no<br />

universal ‘optimal performance model’ for any sports movement pattern. Each<br />

performer brings a unique set of organismic constraints <strong>to</strong> a movement task; these<br />

determine which movements, out of the many possible solutions for the task under<br />

those constraints, are best for him or her.<br />

<strong>Movement</strong> principles approach<br />

QUALITATIVE ANALYSIS OF SPORTS MOVEMENTS<br />

As we saw in a previous section, different authors propose different principles underlying<br />

coordinated movements in sport. This does not provide a convincing backdrop<br />

for identifying critical features of any movement by reading down a list of such<br />

principles. Categorising principles as general, partially general, or specific (as in<br />

Box 2.3), while it does conform <strong>to</strong> the constraints-led approach (see below), does not,<br />

in my recent experience, necessarily provide the answer either.<br />

Nevertheless, the ‘list of principles’ approach is commonly used and often works well<br />

when analysing low-skill individuals. However, it is very susceptible <strong>to</strong> blind alleys<br />

as relationships between critical features are not apparent, in stark contrast <strong>to</strong> the<br />

deterministic modelling approach. I would caution against a mechanistic application of<br />

the movement principles approach. I would advise instead awareness of the important<br />

movement principles that need <strong>to</strong> be used in devising a deterministic model of a given<br />

59

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