# Vision-Based Hand Rotation Recognition Technique with Ground-Truth Dataset
## 5 Results
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Task(N)** & **Evaluation Metric** & **Number of Rotations** & **Angle of Rotations** & **Time of Rotations** \\ \hline \multirow{3}{*}{Task 10 (18)} & Accuracy & 100.00 (0.00)\% & 93.12 (4.43)\% & 51.73 (5.54)\% \\ \cline{2-5}  & MAE & 0.00 & 5.73\({}^{\circ}\) & 7.55 (ms) \\ \hline \multirow{3}{*}{Task 11 (18)} & Accuracy & 100.00 (0.00)\% & 92.37 (4.02)\% & 43.43 (5.25)\% \\ \cline{2-5}  & MAE & 0.00 & 4.88\({}^{\circ}\) & 7.24 (ms) \\ \hline \multirow{3}{*}{Task 12 (18)} & Accuracy & 93.33 (10.28)\% & 80.37 (5.39)\% & 21.43 (14.36)\% \\ \cline{2-5}  & MAE & 0.67 & 8.77\({}^{\circ}\) & 7.95 (ms) \\ \hline \multirow{3}{*}{Task 13 (18)} & Accuracy & 100.00 (0.00)\% & 94.22 (3.70)\% & 87.04 (0.85)\% \\ \cline{2-5}  & MAE & 0.00 & 10.42\({}^{\circ}\) & 4.60 (ms) \\ \hline \multirow{3}{*}{Task 14 (18)} & Accuracy & 100.00 (0.00)\% & 93.09 (2.79)\% & 83.67 (2.60)\% \\ \cline{2-5}  & MAE & 0.00 & 8.44\({}^{\circ}\) & 4.98 (ms) \\ \hline \multirow{3}{*}{Task 15 (18)} & Accuracy & 100.00 (0.00)\% & 94.56 (1.67)\% & 83.10 (2.45)\% \\ \cline{2-5}  & MAE & 0.00 & 5.70\({}^{\circ}\) & 4.97 (ms) \\ \hline \multirow{3}{*}{Task 16 (18)} & Accuracy & 100.00 (0.00)\% & 93.74 (5.17)\% & 82.99 (3.38)\% \\ \cline{2-5}  & MAE & 0.00 & 5.22\({}^{\circ}\) & 4.82 (ms) \\ \hline \multirow{3}{*}{Task 17 (18)} & Accuracy & 97.77 (7.32)\% & 93.24 (4.36)\% & 85.55 (3.48)\% \\ \cline{2-5}  & MAE & 0.22 & 4.33\({}^{\circ}\) & 3.98 (ms) \\ \hline \multirow{3}{*}{Task 18 (18)} & Accuracy & 90.00 (18.47)\% & 69.18 (11.73)\% & 86.37 (8.68)\% \\ \cline{2-5}  & MAE & 1.00 & 13.76\({}^{\circ}\) & 3.62 (ms) \\ \hline \multirow{3}{*}{Task 19 (18)} & Accuracy & 100.00 (0.00)\% & 97.10 (2.19)\% & 84.32 (0.52)\% \\ \cline{2-5}  & MAE & 0.00 & 4.65\({}^{\circ}\) & 4.30 (ms) \\ \hline \multirow{3}{*}{Task 20 (18)} & Accuracy & 100.00 (0.00)\% & 94.47 (1.59)\% & 76.92 (2.32)\% \\ \cline{2-5}  & MAE & 0.00 & 6.10\({}^{\circ}\) & 4.50 (ms) \\ \hline \multirow{3}{*}{Task 21 (18)} & Accuracy & 100.00 (0.00)\% & 94.71 (2.48)\% & 76.10 (2.36)\% \\ \cline{2-5}  & MAE & 0.00 & 5.36\({}^{\circ}\) & 4.29 (ms) \\ \hline \multirow{3}{*}{Task 22 (18)} & Accuracy & 100.00 (0.00)\% & 93.42 (4.51)\% & 68.25 (3.36)\% \\ \cline{2-5}  & MAE & 0.00 & 5.74\({}^{\circ}\) & 5.06 (ms) \\ \hline \multirow{3}{*}{Task 23 (18)} & Accuracy & 99.44 (2.35)\% & 92.74 (4.26)\% & 63.33 (5.12)\% \\ \cline{2-5}  & MAE & 0.06 & 5.51\({}^{\circ}\) & 5.15 (ms) \\ \hline \multirow{3}{*}{Task 24 (18)} & Accuracy & 99.44 (3.35)\% & 95.16 (3.49)\% & 56.05 (8.75)\% \\ \cline{2-5}  & MAE & 0.06 & 3.12\({}^{\circ}\) & 5.38 (ms) \\ \hline \multirow{3}{*}{Task 25 (18)} & Accuracy & 99.62 (1.57)\% & 95.72 (3.06)\% & 72.53 (9.05)\% \\ \cline{2-5}  & MAE & 0.06 & 6.61\({}^{\circ}\) & 9.42 (ms) \\ \hline \multirow{3}{*}{Task 26 (18)} & Accuracy & 100.00 (0.00)\% & 89.22 (4.35)\% & 67.07 (12.84)\% \\ \cline{2-5}  & MAE & 0.00 & 11.47\({}^{\circ}\) & 9.52 (ms) \\ \hline \multirow{3}{*}{Task 27 (18)} & Accuracy & 99.62 (1.57)\% & 92.65 (3.86)\% & 67.53 (13.68)\% \\ \cline{2-5}  & MAE & 0.06 & 7.28\({}^{\circ}\) & 9.05 (ms) \\ \hline \multirow{3}{*}{Task 28 (18)} & Accuracy & 100.00 (0.00)\% & 92.31 (5.12)\% & 61.09 (16.08)\% \\ \cline{2-5}  & MAE & 0.00 & 6.85\({}^{\circ}\) & 10.39 (ms) \\ \hline \multirow{3}{*}{Task 29 (18)} & Accuracy & 99.25 (2.15)\% & 92.97 (5.11)\% & 60.72 (19.51)\% \\ \cline{2-5}  & MAE & 0.11 & 5.50 \({}^{\circ}\) & 9.83 (ms) \\ \hline \multirow{3}{*}{Task 30 (18)} & Accuracy & 97.96 (4.14)\% & 94.41 (4.30)\% & 59.14 (21.73)\% \\ \cline{2-5}  & MAE & 0.28 & 3.88\({}^{\circ}\) & 9.80 (ms) \\ \hline \multirow{3}{*}{**Total (540)**} & **Accuracy** & **99.21 (4.64)\%** & **91.91 (6.98)\%** & **68.68 (16.60)\%** \\ \cline{2-5}  & **MAE** & **0.08** & **6.95\({}^{\circ}\)** & **6.26 (ms)** \\ \hline \hline \end{tabular}
\end{table}