HUMAN MOTION ANALYSIS (WALKING AND RUNNING) WITH TECHNIQUE OF VIDEO TRACKING

• Main Author: AZIZAH (NIM: 90214024), NADIA
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/23403
• Institution: Institut Teknologi Bandung

Mechanics is part of physics which study the nature of motion. Biomechanics is a branch of physics which study the nature of motion of living organisms such as human. Observation and measurement are fundamental aspects in Physics. Measurements which rely on human senses often provide highly inaccurate results, thus measurement devices are developed to overcome the inaccuracy. In this study, video tracking technique is used to obtain data of position and time of a moving object. Video observations were analyzed using Tracker application where the change of an object’s position in the x-y plane from one frame to the next frame can be tracked. Tracker is an Open Source Physics (OSP) tool Workframe Java used in object tracking. Human motion observed in this study is focused on the motion of human leg during walking and running. There are three observed tracking points, i.e., waist, knee joint, and ankle. Position of the three points are analyzed by analyzing eight known phase in walking and running, and also by performing the Discrete Fourier Transform. We first validate the technique by measuring acceleration of free fall by using a free fall motion and a simple mathematical pendulum. The results of the validation indicate that validation using mathematical pendulum motion and motion free fall in vacuum showed that the technique is valid to analyze the motions. For the human motion, the horizontal and vertical instantaneous velocity of each phase were obtained by first calculating the relative movement of the waist to the knee joint and the relative motion of the knee joint to the ankle. A difference between walking and running can be observed qualitatively in the stance phase and swing phase, where the posture locomotion framework i.e., in walking, the skeleton has two supporting points of the foothold during the initial contact stage and the stage of pre-swing, meanwhile, in running there is only one supporting foothold of the stance phase. The difference in the number of supporting points that causes a great difference of the acceleration during walking and running. The stance phase during running has shorter period compared to walking, as observed by the number of the frames. In walking, the swing phase period decreased from 54.28% to 42.86% steps, while in running, there is an increase from 45.72% to 57.14%. From DFT analysis, the frequency domain of horizontal displacement of the observed point during running has greater dominant frequency content compared to walking (0.682 Hz for walking and 2.5 Hz for running). For the vertical displacement, the frequency content is greater for the walking. The movement of the waist and knee joint has a frequency of 1,364 Hz for walking, and the ankle has a frequency of 0.682 Hz while running. The movement of the point of the waist and knee point has a frequency of 5 Hz while running and movement ankles point has a frequency of 2.5 Hz during running.