PROTOTYPE DESIGN OF SPEED DETECTION MOBILE APPLICATION FOR GOLFER’S SWING MOVEMENT USING COMPUTER VISION COMPARED TO PORTABLE RADAR AND ACCELEROMETER SYSTEMS

Abstract

Prototype Design of Golf Swing Speed Detection Mobile Application (GSSDMA)/Swing Vision (SV) has been researched and developed on this thesis with computer vision technique. Frames detection method has been implemented to performed calculation of the swing speed by manually identification of the frames from start of down swing to impact of the ball with Matlab Video Viewer as initial reference calculation, when head of golf club start to move to downswing as frame-zero/fr0 and frame-n/frn as end of the frame after the head of golf club impact to the ball and then the total frames can be determined by frn minus fr0 (frn - fr0) which will be used for speed calculation reference formula using Python programming.
Both measurements have been recorded using RADAR and accelerometer systems to get references of swing speed data measurement from some golfers in golf driving ranges. Accelerometer data measurements have been selected to use as reference of speed calculation with Python programming for software application development since deviation standard is lower than the RADAR systems.
There is a limitation on the hand phone camera speed which only have thirty frames per second (30 fps) and the maximum swing speed can be tested with this camera is 101,2 mph at the moment which has three frames (frn-fr0). Found a swing speed formula y = - 0,53x3 + 9,53x2 – 61,27x + 213,35 from experimental data’s of Driver, 6 Iron, 8 Iron and Pitching and maximum swing speed can be predicted is 124,69 mph which has two frames.