#TITLE_ALTERNATIVE#

• Main Author: MAJU PURBA (NIM: 23608010); Tim Pembimbing : Dr. Ir. Andi Isra Mahyuddin; Dr. Ir. Tatacipta, UNGKAP
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/17484
• Institution: Institut Teknologi Bandung

Human motion analysis has been at the center of many research studies in several fields, such as medical diagnostics, physical rehablitation or sports. Spesific motion analysis of human walking is called gait analysis that could be applied to monitor a patient’s response during medical rehabilitation. Movement variables (such as cycle time, cadence, stride length, and speed) of a patient could be monitored and analyzed to indicate whether improvement or deterioration has taken place. These variables are obtained by using observational system. This research is part of a study to develop an affordable, yet reliable, integrated system for 2D gait analysis that consists of observational optical motion analysis, kinematics and kinetics analyses of human gait for use in medical rehabilitation. This study concerns with kinematics and kinetics analyses based on experimental motion analysis to obtain parameters of human gait. For the analysis, the human body is modeled by five body segments connected by joints. A program is developed to calculate the general gait, kinematics and kinetics parameters of human walking, where the body segments position data over time and anthropometric data of subject are used as the input. <br /> <br /> <br /> <br /> To minimize the error during differentiation process, the experimental data was smoothed before being inputted to kinematics and kinetics analyses. The smoothing process of experimental data shows a high level of accuracy and precision. The developed software has successfully calculate the parameters of human gait, such as cadence, cycle time, stride length, speed, joint angles, joint velocities, joint accelerations, foot force and moment based on body segments position. It was found that the results are in good agreement and also agreed well with other experimental results. It could be concluded that the model is sufficiently reliable. The developed system has a very good potential for use in medical rehabilitation.