# A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training
## 5 Review of Sports  
The following sports were detected in the literature review: Aikido, archery, badminton, basketball, climbing, counter-movement jumping, cricket, cycling, fencing, fitness (gym), (American/ Australian) football, golf, hammer throwing, handball, hockey, jumping, karate, kick-box, rowing, running, cycling, shooting, ski jumping, skiing, soccer, swimming, table tennis, Tai-chi, tennis, triathlon, volleyball, weight lifting, and yoga. The remaining research was unrelated to a specific discipline, and was concerned with sports training in general. This research was placed in the General category. Some sports were investigated much more than others, as is shown in Figure 5, which may be due to their popularity among athletes and regular people, or they may simply be easier to evaluate, and were, as such chosen by researchers. The most popular sports for research were: soccer (12 papers), running (11), and weight lifting (9).  
Figure 4: Taxonomy of methods used in smart sport training.  
We have also divided the sports by their participation into three categories: (1) Individual sports, which are sports where the participant normally competes against other individuals and not as a part of a team; (2) mixed sports, where the individual sometimes competes individually against other individuals, but may, in some competitions, be part of a duo (e.g., Tennis) or a team (e.g., Ski jumping), and (3) team sports, where the individual is always part of a larger team and competes against other teams. We have classified the identified sports in the following way:  
* Individual--aikido, archery, climbing, jumping, fencing, fitness (gym training), golf, hammer throwing, karate, kickboxing, rowing, running, shooting, skiing, swimming, Tai-chi, tennis, triathlon, weight lifting, and yoga.
* Mixed--badminton, cycling, rowing, ski jumping, table tennis, and tennis.
* Team--basketball, cricket, (American/Australian) football, handball, hockey, soccer, and volleyball.  
The research related to the General category (unrelated to a particular sport) was not classified according to individual, mixed, team division. Most of the studies were related to individual type sports (54,6%), as seen in Table 4. This may be because it is much easier to control all the experiment variables with individuals, and it is also much easier to receive consent for studying from individuals than from whole teams where every individual has to consent.  
The identified research is separated and presented by sport (alphabetically sorted) in the following subsections. The research of each sport is presented in a separate table, together with the methods used and the maturity of their implementation, for all sports for which three or more research studies were identified. The sports for which there were less than three studies identified are presented in Section 5.14. For clarity, the following abbreviations for sport training phases presented in Section 2 are used in the table data: Planning, Realization, Control, and Evaluation.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Sport Type** & **No. of Studies** & **\% of Studies (General Studies Excluded from Count.)** \\ \hline
**Individual** & 53 & 54.6 \\
**Mixed** & 17 & 17.5 \\
**Team** & 27 & 27.8 \\ \hline _Total_ & 97 & 100 \\ \hline \hline \end{tabular}
\end{table}
Table 4: Division of studies by sport type.  
Figure 5: Identified research by the relative frequency of sport it was applied on, rounded to three significant digits.