## 5 Conclusions  
The study presented in this manuscript demonstrates that the proposed SRG prototypes can modify sensor-derived features during grasping tasks, ultimately enhancing hand function in individuals with severe motor impairments. In participants with SCI, the SRG facilitated coordinated finger movements by providing consistent and stable pneumatic support. Analyses of finger flexion in the time domain revealed uniform and reliable grip performance across the index, middle, ring, and pinky fingers--a crucial outcome for individuals with compromised motor control. For the post-stroke participant group, although baseline sensor readings and feature values differed from those in the SCI cohort, the SRPAS similarly induced significant changes in both time- and frequency-domain metrics. Actuation influenced key time-domain features, such as peak amplitude, while frequency-domain measures--namely dominant frequency and total power--revealed changes in the energy distribution of EMG and accelerometer signals. PCA illustrated systematic differences between non-actuated and actuated conditions. Despite greater variability among post-stroke participants, these outcomes underscore the potential of SRGs to modulate neuromuscular and kinematic patterns even in cases of heterogeneous motor deficits. Overall, the proposed SRGs offer a promising approach to enhance hand function by dynamically altering the sensor profiles associated with grasping tasks. The marked improvements observed in the SCI group, along with the encouraging yet individualized responses in the post-stroke group, highlight the importance of personalized device calibration. We should carefully place the importance of our findings on the feasibility and usability of the SRG under the scope of limiting factors, especially the small number of subjects (three SCI and three stroke patients) that participated in this preliminary study. While some conclusions regarding the promise of the approach can be drawn, no sub-group analysis, including gender analysis, no extensive statistical analysis with regards to injury severity, chronicity, side or level of lesion, and few meaningful comparisons between the two groups of patients can be conducted, except for qualitative observations. Similarly, the current work focused on preliminary analyses of feasibility, usability, and user experience rather than statistical analysis of efficacy and performance against healthy control subjects. Furthermore, the post-stroke results indicate that although each participant exhibits unique sensor \"signatures,\" a noticeable shift in feature space occurs between different actuation states--particularly when both time- and frequency-domain features are considered together. Future work of the proposed project's development will include integration of kinematic and dynamic modeling of human hand and glove complex into the control scheme, use of normative sEMG [73] value ranges [74] for thresholding assistive levels, and integrating and optimizing electrical stimulation in a hybrid actuation scheme for the arm and hand, integrating sensor-derived metrics with clinical performance measures--such as grip strength and task success rates--to further optimize the device's therapeutic impact across diverse patient populations. More importantly, the conduction and conclusion of the two registered clinical trials, involving SCI and stroke patients, as well as age- and sex-matched healthy control participants will allow for meaningful statistical analyses with regards to the patient demographics, clinical information, neuropsychological evaluations and extensive performance metrics. Only such analyses will allow us to accurately evaluate and discuss the rehabilitative effect of the platform of devices, and the SRG. Conceptualization, V.F., K.M. and A.A. ([PERSON]); Data curation, V.F., K.M., K.K., V.M. and V.P. ; Formal analysis, V.F., K.M. and A.A. ([PERSON]); Funding acquisition, P.D.B.