This work describes the acquisition of kinematic and surface electromyography (sEMG) data from young and older adults during the execution of wrist movements using an upper limb rehabilitation robot (ULRR), along with a wristband equipped with inertial measurement units (IMUs) and sEMG sensors. These devices enable the observation of electrical muscle activation in the forearm during movement execution, providing valuable insights into the neuromuscular dynamics involved in motor control and movement mechanics. The description covers the robot configuration, sensor array, graphical user interfaces (GUIs) for visualizing robot data and biosignals, the experimental protocol, the database structure, and the signal processing and evaluation procedures. For the experimental protocol, 20 participants, 10 young and 10 older adults, were recruited. The test consisted of four basic wrist movements: radial deviation, ulnar deviation, flexion, and extension, which were performed in random order under the guidance of the ULRR GUI. The sEMG analysis indicated that older adults tend to overuse specific muscles and exhibit a higher percentage of compensatory movements (38.5%) than younger participants (24.25%). The study's findings enable the identification of age-related differences in muscle activation and compensation, aiding the design of personalized rehabilitation programs and improved devices to enhance motor function in older adults.
