# MEMS and IoT in HAR: Effective Monitoring for the Health of Older People
## 5 Data Analysis
### Evaluation and Analysis Methodology
The system described in this study classifies specific actions the subjects perform and offers a comprehensive assessment of their motor skills. This process is vital for identifying any abnormalities or declines in motor abilities, enabling timely and targeted interventions. The assessment methodology is based on several parameters, including the following:  
* Efficiency. This measures the speed and fluidity of movements by evaluating the time taken to complete a task and the accuracy of the movements;
* Safety. This examines stability and the risk of falls while performing tasks, measured by the number of accidents or near-accidents recorded during monitoring;
* Independence. This determines the patient's degree of autonomy in performing daily activities, assessed by how often the patient requires assistance to complete tasks. The findings for the mentioned parameters are as follows:
* Efficiency. The average time to complete the grasping task was 5 s, with a movement accuracy of 99%;
* Safety. An accident occurred during walking tests, and some issues were observed during leg flexion;
* Independence. Assistance was requested only once for grasping an object across all tests conducted throughout the day. These preliminary results provide a foundation for expanding research to older adults. The continuous monitoring system allows for observing and analyzing specific movements, such as grasping, walking, leg flexion, and circular arm movements. These movements were chosen for their clinical relevance and impact on the quality of life for older adults. Integrating this IoT application into remote care services enhances the quality of life for elderly individuals and supplies healthcare professionals with valuable information to assess motor skills. The system enables the timely identification of any decline in motor skills, promoting targeted and personalized interventions. To evaluate the model's usage, participants were asked to provide ratings from 1 to 5 based on the following parameters:  
* Functionality. This parameter assesses the speed of the model's responses;
* Usability. This parameter evaluates how easy it is to use the model;
* Utility. This parameter measures the model's effectiveness in promoting user independence. Table 1 presents a rating scale with specific meanings assigned to each value. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**User** & **Functionality** & **Usability** & **Utility** & **Value** & **Description** \\ \hline
1 & 5 & 5 & 4 & 1 & Unsatisfactory: This is the lowest score, indicating that the evaluated item did not meet expectations. \\ \hline
2 & 4 & 4 & 4 & 2 & Below Average: This score suggests that the evaluated item only partially met expectations. \\ \hline
3 & 5 & 5 & 5 & 3 & Average: This score indicates that the assessed item adequately met expectations. \\ \hline
4 & 4 & 4 & 5 & 4 & Above Average: This score signifies that the evaluated item exceeded expectations. \\ \hline
5 & 5 & 4 & 5 & 5 & Excellent: The highest score indicates that the evaluated item significantly exceeded expectations. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Table of evaluation parameters. The evaluations obtained are presented in Table 1.  
Figure 14 shows the values of the mean and standard deviation of the three parameters examined. Based on user feedback, the characteristics of each movement (grasping, arm circular movement, walking, and leg flexion) were assessed in terms of ergonomics and reliability. Ergonomics refers to how easy it is to perform a movement without causing stress or fatigue. In contrast, reliability indicates users' perceptions of the movement's stability and error-free execution. Using the evaluation scale defined earlier, an average rating close to 5 was achieved, as illustrated in Figure 15.  
In light of the results, the model has proven effective and easy to use, and as having a simple user interface. However, its current limitation is that it can only be utilized in scientific environments and with non-elderly subjects.