Use of GPS and motion tracking software and hardware.

The idea

GPS and motion-tracking systems combine wearable hardware, such as satellite receivers, accelerometers and gyroscopes, with software that records and analyses movement. In sport, they quantify distance covered, speed, acceleration, changes of direction, player load and work-rate profiles. Coaches use the data to plan training, monitor fatigue and reduce injury risk, while performers use feedback to adjust positioning and pacing. Accuracy varies with satellite signal, sampling rate and device placement, and some movements are estimated rather than directly measured. Ethical issues include data ownership, consent and surveillance of athletes.

What earns the marks

• Identifies GPS and motion-tracking hardware such as satellite receivers, accelerometers and gyroscopes worn by performers.
• Explains that software records and analyses movement variables including distance, speed, acceleration, changes of direction and player load.
• Applies the data to coaching decisions such as training load management, tactical analysis, fatigue monitoring and injury-risk reduction.
• Recognises limitations: signal interference, sampling rate, device placement and estimation of some movements.
• Discusses ethical considerations including consent, data ownership and surveillance of athletes.

Common mistakes and how to put them right

• Treating GPS as accurate for all movements.

  Put it right: Indoor or obstructed environments weaken satellite signals, and accelerometers estimate some actions rather than measuring them directly.

• Confusing GPS with motion tracking.

  Put it right: GPS uses satellite positioning, while motion tracking uses inertial sensors such as accelerometers and gyroscopes, often combined in one unit.

• Assuming more data automatically improves performance.

  Put it right: Data must be interpreted alongside context, and poor interpretation can lead to inappropriate training loads.

• Overlooking ethical issues: collecting athlete movement data raises questions of consent, ownership and surveillance that must be addressed.

Exam tips

• Name the specific variable being measured, such as distance covered or number of accelerations, rather than saying 'tracking movement' generally.
• Link each piece of data to a coaching or performance decision, for example using high-speed running distance to adjust recovery.
• When evaluating, state a limitation and its consequence, such as signal loss in indoor arenas reducing the reliability of distance data.