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Development of Models for Performance Index (PI) and Score Index(SI) of Individual players based on 5 European Soccer Leagues
Most football managers are not aware of the need for analysis of soccer data, which is one of the dynamic sports. In this study, we developed a statistical model with performance indicators and score indicators of individual soccer player based on various event data including dynamic features such as goal, assist, pass, etc. In this study, the correlation between the dependent variables and the explanatory variables, and each explanatory variable was confirmed through the correlation analysis to solve the problem of multiple communicability from the regression model and to analyze the statistically significant preliminary model. In addition, we analyzed the correlation between individual rating of the players and the data recorded in the soccer games, and found that there has been a problem with the rating of the soccer players evaluated by the reporters and the soccer statistics site. To solve this problem, we developed a model that best fit the performance indicators of individual soccer player using the linear regression model and the beta regression model. The performance index model of the athletes was developed by comparing the R-squared value and the mean absolute percentage error of two models, the linear regression model and the beta regression model, and found out the beta regression model is better model to use. By using the estimated regression coefficients of the regression model we made new PI model. Score Index, which is the attractive point of soccer, was developed by comparing Poisson regression model and negative binomial regression model based on AIC value, and the one using negative binomial regression model was found to be better. Through the model developed by this study, it is possible to collect the event data recorded by individual athletes for each soccer game, and obtain the PI & SI index which are the athlete performance index models. This allows us to evaluate each team's players objectively, analyze the team's deficiencies, and provide tools to find players, who can fill in the missing positions of the teams. This study can also be utilized to grasp the performance of athlete in real time by simulating the resultative model.
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放鬆「心」體驗-利用心率變異性探討音樂與精油按摩的放鬆效果
都市生活充滿著壓力與緊張,若能獲得真正的放鬆,那怕是片刻都能讓人得到紓緩並精神百倍。本研究目的為利用心率變異性探討音樂與精油按摩的放鬆效果。共有32位高職二年級女性受試者經過五種情境各10分鐘的放鬆體驗:1)聆聽放鬆音樂;2)頭頸按摩;3)頭頸精油按摩;4)頭頸按摩加上放鬆音樂;5)頭頸精油按摩加上放鬆音樂。實驗蒐集了受試者客觀心電訊號及主觀情緒量表資料。結果顯示:1)聆聽放鬆音樂、接受頭頸按摩與不從事放鬆行為情境下的放鬆效果相似;2)受試者接受頭頸精油按摩時產生的放鬆效果,較不從事放鬆行為顯著;3)聆聽放鬆音樂可以延續頭頸精油按摩帶給受試者的放鬆感受。本研究結果可供相關服務業者參考,讓人們皆能體驗最佳放鬆效果。
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