# Image Analysis Using Human Body Geometry and Size Proportion Science for Action Classification
## 4 Results and Discussion
### Results
The highest recall value of 0.96 has been achieved for SHSW action while the least recall has been recorded \begin{table}
\begin{tabular}{l c c c c c c c c c c c c} \hline \hline  & **SHSW** & **SHTW** & **Walk** & **Standing** & **BHSW** & **BHTW** & \begin{tabular}{c} _Total Images_ \\ _Classified_ \\ _Recall_ \\ \end{tabular} & \begin{tabular}{c} _Recall_ \\ _Classification_ \\ _Error_ \\ \end{tabular} & \begin{tabular}{c} _Commission_ \\ _Images_ \\ \end{tabular} & \
\begin{tabular}{c} _TheClassified_ \\ _Images_ \\ \end{tabular} &
\begin{tabular}{c} _Total_ \\ _Un-Classification_ \\ _Classified_ \\ \end{tabular} \\ \hline SHSW & **23** & 10 & 0 & 0 & 0 & 0 & 233 & 96.7\% & 4.3\% & 16 & 249 & 6.4\% \\ SHTW & 3 & **252** & 0 & 24 & 0 & 0 & 279 & 90.3\% & 9.7\% & 13 & 292 & 4.5\% \\ Walk & 0 & 0 & **428** & 45 & 0 & 0 & 423 & 90.5\% & 9.5\% & 07 & 480 & 1.9\% \\ Shallow & 0 & 38 & 7 & **381** & 0 & 0 & 466 & 89.5\% & 11.1\% & 13 & 419 & 3.1\% \\ BHSW & 0 & 0 & 0 & 0 & **175** & 11 & 186 & 94.1\% & 5.9\% & 19 & 205 & 9.2\% \\ BHTW & 0 & 0 & 0 & 14 & 1 & **179** & 194 & 92.3\% & 7.7\% & 16 & 210 & 7.6\% \\ _Total Images_ & 286 & 300 & 435 & 444 & 176 & 199 & n - 1771 & 84 & m = 1855 & Overall Un-Classification(5.9\%) \\ _Precision_ & 98.6\% & 84.0\% & 97.7\% & 81.3\% & 99.4\% & 94.2\% & Overall Accuracy(91.4\%) & & & & & \\ _Error_ & 14.4\% & 16.0\% & 2.3\% & 18.7\% & 0.6\% & 5.8\% & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Classification matrix for the complete dataset. \begin{table}
\begin{tabular}{l c c c c c c c c c c c} \hline \hline  & **SHSW** & **SHTW** & **Walk** & **Standing** & **BHSW** & **BHTW** & \begin{tabular}{c} _Total Images_ \\ _Classified_ \\ \end{tabular} & \begin{tabular}{c} _Recall_ \\ _Error_ \\ \end{tabular} & \begin{tabular}{c} _Commission_ \\ _Classified_ \\ \end{tabular} & \begin{tabular}{c} _TheClassified_ \\ _Classified_ \\ \end{tabular} & \begin{tabular}{c} _Total_ \\ _Images_ \\ \end{tabular} & \
\begin{tabular}{c} _Total_ \\ _Images_ \\ \end{tabular} &
\begin{tabular}{c} _TheClassification_ \\ \end{tabular} \\ \hline SHSW & **20** & 1 & 0 & 0 & 0 & 0 & 21 & 95.2\% & 4.8\% & 3 & 24 & 12.5\% \\ SHTW & 0 & **24** & 0 & 4 & 0 & 0 & 28 & 85.7\% & 14.3\% & 2 & 30 & 6.7\% \\ Walk & 0 & **0** & **41** & 2 & 0 & 0 & 46 & 57.7\% & 4.3\% & 2 & 48 & 4.2\% \\ Standing & 0 & 5 & 0 & **43** & 0 & 0 & 48 & 89.6\% & 10.4\% & 4 & 52 & 7.7\% \\ BHSW & 0 & 0 & 0 & **17** & 0 & 17 & 100.0\% & 0.0\% & 1 & 18 & 5.6\% \\ BHTW & 0 & 0 & 0 & 1 & 0 & **16** & 17 & 94.1\% & 5.9\% & 0 & 17 & 0\% \\ Tuol & 20 & 30 & 44 & 50 & 17 & 16 & n - 177 & & & & 12 & m = 189 \\ Purchian & 100.0\% & 80.0\% & 100.0\% & 86.0\% & 100.0\% & 100.0\% & Overall Accuracy(92.7\%) & & & & & \\ _Error_ & 0\% & 20.0\% & 0\% & 14.0\% & 7\% & 0\% & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Classification matrix for Lyova images. \begin{table}
\begin{tabular}{l c c c c c c c c c c} \hline \hline  & **SHSW** & **SHTW** & **Walk** & **Standing** & **BHSW** & **BHTW** & \begin{tabular}{c} _Total Images_ \\ _Classified_ \\ \end{tabular}  & \begin{tabular}{c} _Total_ \\ _Error_ \\ \end{tabular}  & \begin{tabular}{c} _Classification_ \\ _Classified_ \\ \end{tabular}  & \begin{tabular}{c} _Classification_ \\ \end{tabular}  & \begin{tabular}{c} _TheClassified_ \\ _Error_ \\ \end{tabular}  & \ \begin{tabular}{c} _Total_ \\ _Images_ \\ \end{tabular}  & \begin{tabular}{c} _Total_ \\ _Un-Classification_ \\ \end{tabular}  \\ \hline SHSW & **23** & 10 & 0 & 0 & 0 & 0 & 233 & 96.7\% & 4.3\% & 16 & 249 & 6.4\% \\ SHTW & 3 & **232** & 0 & 24 & 0 & 0 & 279 & 90.3\% & 9.7\% & 13 & 292 & 4.5\% \\ Walk & 0 & **428** & 45 & 0 & 0 & 0 & 423 & 90.5\% & 9.5\% & 07 & 480 & 1.9\% \\ Shallow & 0 & 38 & 7 & **381** & 0 & 0 & 46 & 89.5\% & 11.1\  
for \"standing\" action having a value of 0.89. Actions of SHSW and BHSW achieved the highest F-score sharing 0.97 value while the least F-score is for \"standing\" action having a value of 0.85.