REFERENCES DECISION OF MARKERLESS MOTION CAPTURE (PRE SWING) BASED ON BEZIER CURVE METHOD FOR GAIT ANALYSIS

• Main Author: MASITA DEWI (NIM 23206050), ERVIN
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/7828
• Institution: Institut Teknologi Bandung

Gait is described as a personal identifying feature, described by factors such as height, weight, limb length, and natural posture, although many restrict this definition to simply a way to describe the unique manner in which a person walks. Application of gait analysis can be found in several fields, for example medical diagnosis, physical therapy, and sport. It is helpful to control cycles of motion for example in rehabilitation or training. In most medical examination systems the trajectories which are the curves of the body parts describe are determine by markers which are attached to several points of the body. The major problems using markers are patients may feel obstructed walking with stickers all over their body. In gesture recognition people often have to wear color gloves. In this research, we develop a system which works without any markers and does not presume special clothing. Process used in this method is marker less human motion capture for gait analysis. Human motion are captured by video camera from one side using one camera. The video capture may be done without any special clothing or special places such as laboratory. The video recording is used as an input of this system. First, video movie is extracted become frames with video frame reader method. Then, we give manual marker on same frames to the picture of patients. After that, the software that already made, will give another marker which not given yet by using Bezier curve algorithm to guess the places of this marker. The result from Bezier curve algorithm is a trajectories of the marker. This trajectories can be used as gait analysis. From this software, we can do a simple gait analysis. <br />