Evaluación ergonómica de dos exoesqueletos durante la simulación de tareas laborales mediante fotogrametría y sensores de inercia : Análisis de cinemática y cinética articular en OpenSim a través de los datos recolectados con sensores inerciales (IMUs).

Abstract

In the current curricular integration work titled "ANALYSIS OF JOINT KINEMATICS AND KINETICS IN OPENSIM USING DATA COLLECTED WITH INERTIAL SENSORS (IMUs)," the utility and suitability of the OpenSim software for processing data collected through inertial IMU sensors are assessed. These sensors are placed at various body locations, such as the hip, knees, and ankles, and joint kinematics are analyzed when lifting a box. To evaluate the results, the outcomes from OpenSim are compared with other data processing approaches developed and other software tools. Additionally, the focus is on highlighting the accuracy and reliability of the IMU sensors used in data collection. A significant part of the project involves collecting IMU sensor data during a variety of movements and activities. These data undergo a meticulous preprocessing procedure, including cleaning and organization, to ensure data quality and integrity, and to enable data interpretation in OpenSim. Subsequently, the data is processed in OpenSim, and the resulting curves are interpreted. Finally, these curves are compared with curves obtained from other processing methods, allowing for an assessment of OpenSim's capabilities in processing data collected by IMUs. Furthermore, the validity of using IMUs for the analysis of everyday exercises outside a controlled environment will be assessed. This research seeks to shed light on the advantages and limitations of OpenSim when working with IMU data. It contributes to the growing body of knowledge surrounding motion analysis, as well as the practicality and accuracy of IMU sensors for tracking joint kinematics and kinetics during various tasks. Ultimately, the findings of this study can have significant implications for the fields of biomechanics, sports science, and physical therapy, where precise movement analysis is crucial for optimizing performance and injury prevention. By comparing OpenSim's performance with other methods, this research aims to inform researchers and practitioners about the best approaches for motion analysis using IMUs and OpenSim, which will undoubtedly impact future studies and clinical applications in the field.