Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%. In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Movement variability is inherent in human movement, which during periodic and continuous movement may accumulation over time to cause significant deviations away from the planned movement pattern. To prevent such drastic errors in movement the CNS employs a feedback mechanism which detects deviations from the planned movement and triggers the appropriate response to correct the motions. A feedback control mechanism such as this would produce further variability in the executed movement patterns, which can be mistaken for other forms of movement variability. Errors within this long-term feedback control mechanism would result in poor postural control in prolonged gait and balance tasks, increasing the chance that the individual will fall or a sports performance will be threatened. Aims: 1) determine the changes in movement coordination due to internal feedback mechanisms 2) create a model of the feedback processes and, 3) determine the sensitivity of these processes and parameters to control movement over time and examine implications for limitations for human performance. The proposed project could use a combination of EMG, kinematic (motion capture) and kinetic (force plates, instrumented treadmill) data collection to examine and isolate the changes in movement coordination due to internal feedback mechanisms during continuous and periodic movement patterns (such as gait, tumbling, or high-bar giant swings). Subsequently, a computer simulation model could be used to create the predicted feedback processes and recreate the action under investigation during multiple cycles using a long-term feedback control strategy (such as a central pattern generator with PID controller).