• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.88.1-88
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• 2003

Antogonistic bacteria against Rhizoctonia solani and Pythium spp., causing serious damage to golf course grasses, were isolated from the top soil of several golf courses in Korea. The isolate of Limk0102 was selected as the biological agent by characterization of antifungal activity, large scale preparation, fungicides tolerance and ecological fitness to the targe environment. The isolate was identified as Bacillus subtilis by biochemical and physiological characterization, and 165 rDNA sequence analysis. The bacterial agent was formulated as a granule type by seeding it on fine sand. The formulated agent showed high recovery rate (more than 10$\^$8/ cells/g sand) even after 6 month-storage at room temperature with similar antifungal activity with that of original cells. In vitro, the biological agent successfully exhibited antagonistic performance on bentgrass inoculated with R. solani or Pythium spp. isolated from the diseased grasses on golf courses. Field evaluation on disease control activity and ecological fitness of the agent is now under going on several golf courses.

• The Research Journal of the Costume Culture
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• v.25 no.4
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• pp.499-508
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• 2017

Functional inner-wear being currently sold is being made without regard to the characteristics of various sports events. The purpose of this study is to identify this problem and to investigate the effect of sports taping on golf swing when wearing functional inner-wear. The subjects of this study were 8 male golfers belonging to Korea Professional Golf Association, and Launch monitor and Trackman were used to find out golf club action, ball pitch, distance, etc. There are three types of clubs: driver, wood, and iron, and the first experiment was carried out using only functional inner-wear. In the second experiment, we experimented with functional inner-wear after sports taping, and we compared and analyzed the distance depending on each experiment, the speed of the ball and the club, and the accuracy of the club face. The results of the study were as follows. As a result of driving distance, according to the presence of sports taping on functional inner-wear, there was a statistically significant difference in the driving swing and wood swing, for club and ball speed, there was a statistically significant difference only in the driving swing. Regarding the accuracy by the presence of sports taping on inner-wear, there was a statistically significant difference in the driving swing, wood swing, and iron swing. In conclusion, the sports taping in the functional inner-wear had a positive effect on golf performance improvement, and we hope that golf inner-wear these two specifications combing will be developed in the future.

• Journal of Dental Rehabilitation and Applied Science
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• v.26 no.2
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• pp.157-168
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• 2010

Many athletes have been using occlusal stabilization appliances to improve their performance. Few studies have examined the benefits of such an appliance in golf. We determined the effect of such appliances on the masticatory muscle activities and driving distances of professional golf players. The appliances were customized for each player and adjusted using a computerized device. The electromyographic muscle activities and driving distances with and without the appliance were measured and compared using the K7 Analyzer and the GolfAchiever II assembly. A paired t-test was used for statistical analysis. The muscle activities of the temporo-frontal and masseter muscles with the appliance were significantly more stable than those without the appliance, and the driving distances with the appliance were significantly different from those without it. Although there were intra-individual differences, professional golf players with temporomandibular disorders showed a greater improvement in performance.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.96-106
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• 2002

We introduce a novel scheme to characterize and index events in TV golf programs using MPEG-7 descriptors. Our goal is to identify and localize the golf events of interest to facilitate highlight-based video indexing and summarization. In particular, we analyze multiple (low-level) visual features using domain-specific model to create a perceptual relation for semantically meaningful(high-level) event identification. Furthermore, we summarize a TV golf program with TV-Anytime segmentation metadata, a standard form of an XML-based metadata description, in which the golf events are represented by temporally localized segments and segment groups of highlights. Experimental results show that our proposed technique provides reasonable performance for identifying a variety of golf events.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1540-1549
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• 2004

In this paper, we propose an algorithm to detect semantic events in golf video using Hidden Markov Model. The purpose of this paper is to identify and classify the golf events to facilitate highlight-based video indexing and summarization. In this paper we first define 4 semantic events, and then design HMM model with states made up of each event. We also use 10 multiple visual features based on MPEG-7 visual descriptors to acquire parameters of HMM for each event. Experimental results showed that the proposed algorithm provided reasonable detection performance for identifying a variety of golf events.

• Korean Journal of Applied Biomechanics
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• v.32 no.1
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• pp.1-8
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• 2022

Objective: This study proposes a methodology to analyze important variables that have a significant impact on the putting direction prediction using a machine learning-based putting direction prediction model trained with IMU sensor data. Method: Putting data were collected using an IMU sensor measuring 12 variables from 6 adult males in their 20s at K University who had no golf experience. The data was preprocessed so that it could be applied to machine learning, and a model was built using five machine learning algorithms. Finally, by comparing the performance of the built models, the model with the highest performance was selected as the proposed model, and then 12 variables of the IMU sensor were applied one by one to analyze important variables affecting the learning performance. Results: As a result of comparing the performance of five machine learning algorithms (K-NN, Naive Bayes, Decision Tree, Random Forest, and Light GBM), the prediction accuracy of the Light GBM-based prediction model was higher than that of other algorithms. Using the Light GBM algorithm, which had excellent performance, an experiment was performed to rank the importance of variables that affect the direction prediction of the model. Conclusion: Among the five machine learning algorithms, the algorithm that best predicts the putting direction was the Light GBM algorithm. When the model predicted the putting direction, the variable that had the greatest influence was the left-right inclination (Roll).

• Korean Journal of Psychosomatic Medicine
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• v.15 no.2
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• pp.107-112
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• 2007

Introduction : A positive thinking has been known to affect the enhancement of performance. One of temperament characters, harm avoidance is thought to be associated with anxiety related behaviors. Golfer showed highest anxiety and lowest score of harm avoidance, compared to any other sports. We hypothesized that positive feedback and reinforcement in golfer would decrease the anxiety and improve the performance. Methods : Fifty one golfers with the age from 15 to 19 were classified into two groups; 25 golfers who used Zinsser's Changing Negative thoughts to Positive thoughts and Beswick's positive self talk when exercise and competition (P-FB) and 26 golfers who had not (controls). Harm avoidance, Spielberg's Trait and State Anxiety, and Golf scores has been assessed at baseline and 6 months later. Results : There was no significant difference in baseline harm avoidance, anxiety, and golf scores between P-FB and controls. The total golf scores in both groups have improved after 6 month later. However, P-FB group showed greater improvement of total scores and putting scores, compared to controls. The state anxiety in PFB group has been decreased, while there was no change in controls. The change in the state anxiety was correlated with harm avoidance and the change in total golf scores. Discussions : The positive thinking has enhanced performance and state anxiety. The improvement of performance and anxiety in golfers was associated with high harm avoidance. The current study showed that the regulation of anxiety with positive thinking was helpful to the performance enhancement in subject with high harm avoidance.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.15-21
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• 2023

This paper is a study on the development of an artificial intelligence model that recognizes a hole cup on a golf green. A CNN-based object detection algorithm was used to recognize the hole cup on the green. Also, Apple's CreateML was used to create a model of the object detection algorithm. This paper created a JSON file with 120 training images and annotations to meet the needs of CreateML. In addition, for more accurate learning, data amplification algorithm was used for learning data and 288 learning data were used for learning. By changing the Iterations, Batch size, and Grid size required by CreateML, we found parameter values that improve the performance of the model. A prototype app was developed by applying the developed model, and performance was measured on an actual golf course green using the prototype app. As a result of the measurement, it was found that the hole cup was accurately recognized within 10m, which is the typical golfer's putting distance.

• Proceedings of the Korean Society of Food Science and Nutrition Conference
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• 2001.12a
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• pp.50-51
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• 2001

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1476-1484
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• 2021

The purpose of this study was to compare the golf performance on transcranial direct current stimulation(tDCS). Ten collegiate golfers were participated. SAMPutt basic unit was used to analyze the kinematic data of putter head. A putting platform and a tDCS were used for putting tasks. It was performed paired t-test to compare between before tDCS and after tDCS. A significant level of .05 using SPSS 24.0. Face at aim and backswing variables of putter head were significantly different during flat putting. Impact spot of putter head was significantly different during 2° of hook slope. However, there were not significantly different others slope angle. It was found that transcranial direct current stimulation had a positive effect on kinematic variables. Based on these results, further research is needed to confirm the effect of transcranial direct current stimulation on body stability during putting task.