# Design and Validation of Rule-Based Expert System by Using Kinect V2 for Real-Time Athlete Support
## 4 Conclusions  
In this study, a new athlete support system designed by using Kinect V2 and Expert System was proposed to monitor and improve athlete training. In the design process of the rule base used by the system, movement models for DSP and LR have been created by consulting the opinions of experts. The Expert System rule table design was made according to the created movement models. On the designed rule base, a 2\({}^{8}\)-element rule table for DSP and LR movements was examined, and the main conditions that can be used in both movements were determined. During the study, Expert System makes decisions by processing the change of elbow, wrist, knee, hip, and shoulder joint data according to the rule base it contains. The test of the system was carried out by 10 participants in a real gym environment. The first of the obtained data concern the decision-making ability of Expert System. The fact that the decisions of the system match those of the human expert in 85.5% of cases shows that the system can be used in gyms which lack trainers, by people who want to do sports at home, or by athletes working alone. However, if the system is to be used in movements other than DSP or LR, then a movement model for those movements and a rule design for the Expert System depending on this model are required. A four-week planned study was conducted to assess the effect of the proposed system on the training process. The paired \(t\)-test and effect size analysis results of this study indicate a significant change in physical abilities (\(p<0.05\) and d \(>0.5\)) from the first week according to joint changes in training, and shows that this change continues throughout the process. The independent \(t\)-test analysis results of the glenohumeral joints and spine data of the 1 st and 4 th weeks indicates a significant change in cognitive abilities (\(p<0.05\)) between the beginning and the end of training period, and these results are supported by the physical ability results. \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multicolumn{10}{c}{**Independent Samples Test**} \\ \hline \multicolumn{10}{c}{**Levene’s Test**} \\ \multicolumn{10}{c}{**for Equality**} \\ \multicolumn{10}{c}{**of Variances**} \\ \hline \multirow{2}{*}{**F**} & \multirow{2}{*}{**Sig.**} & \multirow{2}{*}{**t**} & \multirow{2}{*}{**df**} & \multirow{2}{*}{**Sig.** (2-Dilled)} & \multirow{2}{*}{**Mean Diff.**} & \multicolumn{2}{c}{**Sid. Err.**} & \multicolumn{2}{c}{**95\% Conf. Interval of**} \\  & & & & & & & & & & & **Lower** & **Upper** & **Effect Size** \\ \hline DSP GLI & Eq. var. assum. & 4.531 & 0.047 & 3.022 & 18 & 0.007 & 2.93600 & 0.97154 & 0.89488 & 4.97712 & 0.95564 \\ Week 1-4 & Eq. var. not as. & 3.022 & 14.514 & 0.009 & 2.93600 & 0.97154 & 0.85916 & 5.01284 & 0.95564 \\ \hline DSP GLR & Eq. var. assum. & 3.458 & 0.079 & 2.444 & 18 & 0.025 & 2.85100 & 1.16635 & 0.4068 & 5.30142 & 0.72861 \\ Week 1-4 & Eq. var. not as. & 2.444 & 13.827 & 0.029 & 2.85100 & 1.16635 & 0.43649 & 5.3551 & 0.72861 \\ \hline DSP S & Eq. var. assum. & 0.439 & 0.516 & 2.232 & 18 & 0.039 & 2.43900 & 1.09288 & 0.14295 & 4.73505 & 0.70582 \\ Week 1-4 & Eq. var. not as. & & 2.232 & 14.679 & 0.042 & 2.43900 & 1.09288 & 0.10513 & 4.77287 & 0.70582 \\ \hline LR GLI & Eq. var. assum. & 1.741 & 0.204 & 7.211 & 18 & 0.000 & 3.61400 & 0.50118 & 2.56106 & 4.66694 & 2.280318 \\ Week 1-4 & Eq. var. not as. & & 7.211 & 15.317 & 0.000 & 3.61400 & 0.50118 & 2.54708 & 4.68032 & 2.280318 \\ \hline LR GJR & Eq. var. assum. & 5.064 & 0.037 & 6.645 & 18 & 0.000 & 3.71900 & 0.55968 & 2.54316 & 4.89484 & 2.201334 \\ Week 1-4 & Eq. var. not as. & & 6.645 & 12.178 & 0.000 & 3.71900 & 0.55968 & 2.50154 & 4.95646 & 2.101334 \\ \hline LR S Week & Eq. var. assum. & 3.168 & 0.092 & 3.771 & 18 & 0.001 & 4.80100 & 1.27326 & 2.12598 & 7.47602 & 1.192495 \\ \hline l-4 & Eq. var. not as. & 3.771 & 13.3899 & 0.002 & 4.80100 & 1.27326 & 2.08626 & 7.53374 & 1.192495 \\ \hline \hline \end{tabular}
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