Tangwongcharoen, Wisan

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Tangwongcharoen, Wisan
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wisan.ta@kmitl.ac.th

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    Item type:Publication,
    The specific golf swing patterns using K-means clustering with the two-sided confidence interval
    (2017-11-03)
    Tangwongcharoen, Wisan
    ;
    Titiroongruang, Wisut
    Golf is a popular sport for exercise or socializing. It affects an increasing number of patients. Because of these reasons the researchers decided to focus on this problem. We presented the analysis golf swing using K-Means Clustering with Two-Sided Confidence Intervals and the Closest Pair of Points Problem. The raw data were clustered by K-Means Clustering. The boundaries of subgroups processed by K-Means Clustering were calculated to represent the data of the normal and abnormal golfers, which we use as the diagnose patterns. The compared data is the comparison of the diagnose patterns of both normal and abnormal patterns. From the experimental results, the percentage of similar pattern is shown. Therefore, this algorithm can help the doctor to predict the injuries trend of golf players.
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    Item type:Publication,
    Determining Golf Swing Patterns Using Motion Sensors for Injury Prevention
    (2017-01-01)
    Tangwongcharoen, Wisan
    ;
    Titiroongruang, Wisut
    Golf is a popular sport for exercise or socializing. It affects an increasing number of patients. Because of these reasons the researchers decided to focus on this problem. We presented the analysis golf swing using sensors named Razor IMU to detect golf swing motions. The rotation and acceleration data were gathered by sensors attached on the upper and lower back. These data were clustered by K-Mean Clustering. The data clusters were calculated boundaries by Z-Score. The normal and abnormal data were compared for the Back Swing-Half Swing to Top Swing position and Top Swing to impact position. From the experimental results, this algorithm can classify normal and abnormal data due to the significant differences. This paper can help to improve and correct swings and thus avoid injuries.