ANALYSIS OF GREENSIDE BUNKER SHOTS IN GOLF

This paper presents an analysis of greenside sand bunker shots in golf to identify the key parameters in a given situation to achieve the desired distance to the pin. Different depths and corresponding entry distances of a down swing were measured in order to analyse the situation. Experiments for taking the required data were conducted in a sand bunker of a golf course. Samples were taken from different golfers whose handicaps are ranging from 5 to 25. Results can be used to train amateur golfers, especially for reaching different distances towards the pin from greenside sand bunkers

Analysis of greenside bunker shots in golf: to achieve the desired distance from sand bunkers to the pin

This paper presents an analysis of greenside sand bunker shots in golf to identify the key parameters in a given situation to achieve the desired distance to the pin. Different depths and corresponding entry distances of a down swing were measured in order to analyse the situation. Experiments for taking the required data were conducted in a sand bunker of a golf course. Samples were taken from different golfers whose handicaps are ranging from 5 to 25. Results can be used to train amateur golfers, especially for reaching different distances towards the pin from greenside sand bunkers

Motion segmentation of the greenside bunker shot for training and coaching purposes

We describe a novel approach characterizing the difference between the swing of elite and amateur golfers when executing greenside bunker shot. Biokin-Mobi sensor setup designed to capture three dimensional patterns of human movements is employed to gather real time swing data. The captured velocity data will be used to investigate greenside bunker shots. Results show the effectiveness of the proposed setup in identifying the key parameters vital for performance enhancement in non-elite golfers in comparison to elite golfers

Biokin based system for capturing golf swing data

This paper presents a new concept for datacapturing algorithm for golf swing, particularly, in greensidebunkers of a golf course. The captured data will be used toinvestigate the critical parameters of the golf swing addressingselected significant variables. Modeling and key findings will beused for extracting optimum training parameters. Results showthe effectiveness of the proposed BioKin based system and it willlead to investigate different aspects of the golf swing incombination with other determined factors