Parkinson’s disease (PD) is characterized by motor symptoms, among which bradykinesia and tremor are key indicators for diagnosis and monitoring. This study presents and evaluates a modular glove incorporating inertial sensors (MPU9265) for the objective and quantitative assessment of these two symptoms. Motor tasks adapted from the Movement Disorder Society - Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), including finger tapping, pronation-supination, finger-to-nose maneuver, and resting tremor, were performed to capture parameters such as frequency, rhythm, and entropy. A pilot technical evaluation using healthy volunteers was conducted to validate the device’s functionality, followed by tests with a mechanical tremor simulator that yielded results consistent with reported findings in the literature. The data indicated a decrease in finger tapping frequency and an increase in rhythm irregularity during Parkinson’s simulations. The findings suggest that the proposed modular device could serve as a practical tool for diagnosis and continuous monitoring of PD. At the same time, further validation with real patients would be valuable to confirm its effectiveness and to refine aspects such as ergonomics and measurement accuracy.