## 7 Simulation Results
### Towards Real-Life Implementation in Rehabilitation: A Strategic Outlook  
In this study, the theoretical development and simulation-based validation of the proposed exoskeleton control driver were the primary focus. However, it is recognized that the translation of this approach into real-world rehabilitation settings is a crucial next step. Therefore, a key direction for future research lies in the practical implementation of the proposed control system.  
Wearable exoskeletons have gained significant recognition as essential assistive technologies, particularly in rehabilitation and elderly care. As highlighted by [PERSON] et al. (2017), the growing demand for assistive exoskeletons, particularly for the elderly, emphasizes the need for systems that support independent living and promote a high quality of life. While much of the research has concentrated on medical applications for parapelegics and trauma patients, there is a notable shift toward developing exoskeletons for non-medical uses, which could play a pivotal role in assisting elderly individuals in their daily activities [7]. Similarly, [PERSON] et al. (2020) demonstrated that lower-limb exoskeletons (LLEs) can be compactly designed with modular actuation systems, ensuring high performance while minimizing mechanical complexity. Their work also validated the integration of ergonomic systems with control mechanisms that assist walking, offering insights into the design of systems that could eventually be adapted for rehabilitation [71].  
The implementation of the proposed driver in real rehabilitation environments involves challenges such as hardware integration, real-time performance, and managing human-exoskeleton interactions while ensuring patient safety, comfort, and adaptability. Bio-inspired controllers, as highlighted by [PERSON] et al. [72], replicate human locomotion principles to enable natural interactions and effective assistance in tasks like walking and stair climbing. To transition the proposed driver to practical use, key steps include: (i) integrating the control system with exoskeleton hardware, (ii) conducting pilot tests with patients to assess performance under diverse conditions, (iii) refining the system using real-time feedback, and (iv) ensuring flexibility for adaptation to different exoskeleton models and protocols. Adaptive control methods and real-time feedback mechanisms, such as user-friendly interfaces and enhanced safety features, are essential for continuous monitoring and timely adjustments, addressing the dynamic needs of rehabilitation environments.  
Although the practical implementation of the proposed driver is beyond the scope of this study, the theoretical approach presented here provides a robust foundation for future experimental research. Future work will focus on adapting the control system to real rehabilitation environments, validating its effectiveness, and addressing the challenges that arise during practical implementation. Insights from recent studies, such as those by [PERSON] et al. (2017) [7], [PERSON] et al. (2020) [71], and [PERSON] et al. (2017) [72], will offer valuable guidance for the development and clinical testing of the system.