Motion Capture System for Kinematic Analysis of Human Gait Assisted by an Exoskeleton

The study of body movements in human gait promotes the identification of pathologies in intervened joints. Although the exoskeleton’s movements at the Technical University of the North provide significant support, they are adjusted to a walking style that does not match Ecuadorian records, resulting in locomotion that is not suitable for the national population. Therefore, the implementation of a data acquisition system reflecting the lower limb exoskeleton’s movement angle is proposed. The approach involves selecting a reliable proposal and developing a motion equation interpreted through wirelessly interconnected accelerometers, with data collection carried out using Arduino IDE. The angles will be graphed in Matlab 2022 software, and the user’s data will be recorded in Excel. Validation of the project with the help of patients will involve functionality testing to assess the accuracy of the recorded data. The conclusive results will show patient movement graphs and data recorded in accordance with the sample population.