Date

2022-9

Author

Kirdiş Gemici, Selin

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Examination of joint kinematics and kinetics after diseases that affect mobility provides information about the movement capacity of the person. The most widely used systems in this field are opto-electronic systems. However, these systems are expensive and cannot be used outside the laboratory. For this reason, wearable technologies (e.g. systems containing inertial sensors), which are relatively new systems, have started to take the place of these systems. Wearable technologies are more accessible to users and allow for long-term movement monitoring of the person outside the laboratory. Over the years, many researchers have made efforts to establish and improve the gait analysis system at METU Biomechanics Laboratory. After the opto-electronic gait analysis, the KISS system, a new Inertial Measurement Units based gait analysis system was started to be developed. In the first phase of this study, the kinematic and kinetic gait analysis systems were developed using data acquired utilizing Inertial Measurement Units (IMUs) and force plates. The software is based on an open source software, OpenSim. After adopting the software for available IMU sensors for lower and upper extremities, the developed systems were examined and validated qualitatively by testing single and multiple sensors with static test setups and additional experiments with a human subject. Data was collected, processed and interpreted with the help of a lower extremity test setup using seven IMUs. Moreover, gait and upper extremity data were collected from a human subject. The results of the kinematic gait analysis indicate that drift has been observed because of the unwanted motion of the pelvis sensor (which is the main sensor) during movement. The drift problem of the results was solved by using the slope correction code. Overall, analysis results showed that patterns of the kinematic data are consistent with the literature. The differences between some of the final results and the values in the literature were thought to be due to sensor sensitivity and the subject’s unique gait pattern. Although the patterns of the kinetic data are also similar to the patterns of the data in the literature, two main problems were observed. First, it was noticed that some of the curves were in the reversed order of those in the literature. It is thought that this is caused by a difference between the coordinate systems. Secondly, the experimental results were found to be larger than those in the literature. However, after analyzing the data of different subjects with different weights, it was seen that the data was consistent in itself.

Subject Keywords

Gait analysis, Motion analysis, Inertial measurement unit, Opensim, Force plate

URI

https://hdl.handle.net/11511/99514

Collections

Graduate School of Natural and Applied Sciences, Thesis