## 4 Experiments
### Results  
An overview of the progress and results for each of the four patients during this technical validation is presented in Table 2. The average accuracy of each action in each session for all patients are reported in the table. As we previously mentioned, each action was carried out in two separate attempts to better understand the precision of the OAD model with respect to patients with NDDs. Due to the fact that the OAD model is trained with videos with healthy subjects, depending on the physical limitations of the patients, certain actions were harder for the model to recognize. Figure 8: This figure includes images of several participants during the interventions performing the four study actions: blow-drying hair (**first row**); brushing teeth (**second row**); writing on a blackboard (**third row**); and mopping (**fourth row**). With respect to the first patient, here are our conclusions. Due to her condition, she can not walk without a walker and is unable to control her movements. For the first two weeks, she assisted the sessions with her walker. Since she was using the walker, the system was not able to correctly recognize those actions which required an image of her entire body. This is a clear limitation of our OAD model, which would need an update to deal with such situations to attend to all possible patients. Overall, the accuracy of most of the actions she performed was 0% in the first two weeks. In terms of the actions which were implemented with face detection and zooming, the system was able to detect that she was brushing her teeth in one session despite all of her movement limitations. Another two sessions were conducted _without_ her walker, but with a direct assistance of her physiotherapist in holding her. Under these circumstances, Table 2 shows how the accuracy of the AI model increases for all the actions. When the patient brushed her teeth and mopped the floor, LOLA recognized the activity with 100% accuracy. Due to her inability to write or hold the hair dryer in her hand, the system had difficulty detecting these two actions, which resulted in mainly 50% error rates. Figure 9 shows the average accuracy for all detected actions over all sessions for the first patient. \begin{table}
\begin{tabular}{l l c c c c} \hline
**User ID** & **Actions** & **Session 1** & **Session 2** & **Session 3** & **Session 4** \\ \hline \multirow{4}{*}{UAH-1} & Blow Dry Hair & 0\% & 0\% & 50\% & 50\% \\  & Brushing Teeth & 100\% & 0\% & 100\% & 100\% \\  & Writing On Board & 0\% & 0\% & 0\% & 50\% \\  & Mopping Floor & 0\% & 0\% & 100\% & 100\% \\ \hline \multirow{4}{*}{UAH-2} & Blow Dry Hair & 50\% & 50\% & 50\% & 50\% \\  & Brushing Teeth & 100\% & 100\% & 100\% & 100\% \\  & Writing On Board & 100\% & 0\% & 0\% & 100\% \\  & Mopping Floor & 100\% & 100\% & 100\% & 100\% \\ \hline \multirow{4}{*}{UAH-3} & Blow Dry Hair & 100\% & 50\% & — & — \\  & Brushing Teeth & 100\% & 100\% & — & — \\  & Writing On Board & 0\% & 0\% & — & — \\  & Mopping Floor & 100\% & 100\% & — & — \\ \hline \end{tabular}
\end{table} 
Table 2: This table details the results of the entire process of technical validation of the platform. We report the average accuracy of the AI model when recognizing the actions during the different sessions. Our OAD model has detected the actions of brushing teeth and mopping the floor with the highest accuracy during the sessions. Considering the patients’ physical limitations, blow drying hair, and writing on board were challenging activities for them to undertake. The second case of study is a patient that is capable of walking, although she experiences some difficulty with her balance and has mostly cognitive impairment. Her first encounter with LOLA was pleasant. The experience of seeing herself on the screen while performing an action in front of the camera of the robot appeared enjoyable to her. Table 2 shows the following numbers. There were no errors while the patient was brushing her teeth, and the Al-based module was 100% accurate in detecting this activity.