Automated tracking of the golf putt: An analysis of low-handicap golfers and feedback for novice golfers
Chad Robert Goodall, University of Manitoba , Canada
University of Manitoba . Awarded
The present study used an automated tracking system in two experiments. The first experiment was a general test of the system's ability to collect useful data on the putting stroke of 9 low handicap golfers (8 males, 25 to 67 years old, 1, 24-year-old female, mean handicap 9.2). Data were collected on four main variables: initial clubface angle, swingpath angle, putter velocity, and putter acceleration. Analysis showed that two of the variables were significantly correlated to the golf ball's final resting position (swingpath angle r = .3671, putter velocity r = –.3400, p < .0001). These two variables were then further analysed to calculate optimal ranges that were most likely to result in putts on target for use in
Experiment 2. The second experiment was a specific test of the system's ability to improve the putting stroke of 2 novice golfers (26-year-old male, 30-year-old female). (Abstract shortened by UMI.)
Goodall, C.R. Automated tracking of the golf putt: An analysis of low-handicap golfers and feedback for novice golfers. Master's thesis, University of Manitoba.
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