## 3 Results
### Detection
#### 3.1.2 Realistic Setting--Dataset  
As in the case of the Laboratory Setting, Figure 11 shows the results achieved in each test of the classification model trained using the control data (i.e., Standard Positioning) and used to classify the data for the three different configurations. The three curves refer to the three different configurations. Specifically, the blue curve identifies the average (decimated) accuracy values obtained by averaging the accuracy results from considering the three configurations one at a time as the training data set of the classification model. Additionally, using this dataset, the graph shows that except for a few participants, it is quite evident that the configuration \"Different Positioning\", which inherently represents a greater shift in the data compared to the standard one, seems to achieve very low accuracy values different from those achieved by the Standard Positioning. \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Hard** & & **Easy** \\ \hline
**N Record** & **\%CS** & \(\mathbf{p}\)-Value** & **\%CS** & \(\mathbf{p}\)-Value** \\ \hline
10 & 0.55 & \(5\times 10^{-16}\) & 0.68 & \(2\times 10^{-32}\) \\
15 & 0.54 & \(1\times 10^{-16}\) & 0.68 & \(8\times 10^{-40}\) \\
20 & 0.55 & \(1\times 10^{-17}\) & 0.66 & \(7\times 10^{-44}\) \\
30 & 0.54 & \(3\times 10^{-20}\) & 0.67 & \(1\times 10^{-47}\) \\
45 & 0.54 & \(3\times 10^{-23}\) & 0.68 & \(4\times 10^{-50}\) \\
60 & 0.54 & \(4\times 10^{-23}\) & 0.69 & \(1\times 10^{-50}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Test same Chs diff Ref. \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Hard** & & **Easy** \\ \hline
**N Record** & **\%CS** & \(\mathbf{p}\)-Value** & **\%CS** & \(\mathbf{p}\)-Value** \\ \hline
10 & 0.84 & \(1\times 10^{-49}\) & 0.91 & \(4\times 10^{-51}\) \\
15 & 0.82 & \(1\times 10^{-50}\) & 0.92 & \(1\times 10^{-51}\) \\
20 & 0.82 & \(3\times 10^{-51}\) & 0.92 & \(1\times 10^{-51}\) \\
30 & 0.83 & \(1 Figure 12 represents the mean of the accuracy curve over the 10 participants on each configuration and the corresponding Wilcoxon test performed by comparing the values achieved in the control configuration (Standard Positioning) and those achieved in the remaining 2 test configurations. In particular, the dashed orange curve shows how the \(p\)-values of the Wilcoxon test are always significant (<0.05). Specifically, the Similar Positioning (green curve) test shows not significant \(p\)-values (it does not appear to be present in the graph because its value, for each decimation point, exceeds the upper limit of the graph). [PERSON]'s test calculated between Standard and Different Positioning shows a value exceeding 8 (i.e., 8.26), indicating a strong and significant difference between the means of the two distributions. Instead, the difference between the means of the Standard Positioning values and those of Similar Positioning is of lesser impact, with a [PERSON]'s D value of 2.24. Figure 11: Accuracy was achieved in the classification of the three configurations. Each line shows the accuracy reached by training the model on the control data (Standard Positioning) and classifying the three different configurations. The Y axis of the graph includes values from 50 to 100; therefore, when the curve of some configuration is not visible in the graph, it is because the accuracy value achieved is not greater than 50. Each graph corresponds to the results achieved in one participant. Figure 10: Percentage of records showing Covariate Shift with rest condition data. Each curve point represents the participant’s percentage of records with covariate shifts across different configurations using rest condition data. The box displays Wilcoxon test results comparing the blue curve with the purple curve and the orange curve. This highlights the increase in covariate shift as configurations change, even during the resting condition. Table 7 displays classification accuracy values and corresponding \(p\)-values achieved at specific levels of decimation (in seconds) across configurations.