How do experts learn to move precisely?

Monash University

About the Project

Professional athletes, dancers and surgeons demonstrate exquisite control of their complex movements, reflecting dedicated and focussed training. Although the movements that they make are repetitive and relatively simple, professional cyclists and swimmers move more precisely than amateurs. This project will explore what distinguishes the movements of beginners from those of experts, and whether traces of expertise can be observed in those beginners who most rapidly learn new skills. We are particularly interested in exploring how consciously any process of variability-minimisation is applied when learning complex movements, and whether some people are innately better at inferring their own movement errors. Are these the people who are most likely to become professional dancers and sportspeople?

The project will involve:

  • data collection of body and eye positions using video-based markerless motion capture and head-mounted eye trackers
  • development of new and application of existing AI tools for extracting 3-D body and eye positions
  • development of tools for visualising movements in 3-D
  • extensive time-series data analysis in Python or Matlab.

The ideal candidate will have a background in neuroscience, engineering or human movement and demonstrated experience in (or a strong commitment to learning) coding in Python or Matlab. 

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