DEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS

Long jump is one of many athletic sports branches where an athlete tries to jump as far as possible in horizontal direction from the jumping line. To produce the best jump result, all movements that happen during the long jump need to be analyzed. To date, movement analysis of the long jump always u...

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Main Author: Setiadi, Steven
Format: Final Project
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/52984
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:52984
spelling id-itb.:529842021-02-25T10:47:21ZDEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS Setiadi, Steven Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project long jump, image, kinematics, DLT INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/52984 Long jump is one of many athletic sports branches where an athlete tries to jump as far as possible in horizontal direction from the jumping line. To produce the best jump result, all movements that happen during the long jump need to be analyzed. To date, movement analysis of the long jump always used markers because its accuracy is guaranteed, but using markers on the subject indirectly hinder the subject’s movement. Furthermore, setting up the markers take time and it doesn’t capture all body segments. Therefore, FTMD ITB’s Biomechanics Research Team developed a motion analysis system for long jump analysis using markerless optical motion capture system, so that the movements of long jump can be replicated without any hindrance to the subject. Development of markerless optical motion capture system is initiated with experiment preparation. This step consists of selecting the location and preparing a camera, a tripod, and a checkerboard pattern. The next step is camera calibration to get the camera parameters, followed by recording movements of long jump. The recording result is then inputted into a software called Matlab to be processed into data that can be used for image processing. Image processing steps used to analyze long jump movements consist of image segmentation, model generation, image registration, and post–processing. Results of data processing then compared to the result of manual segment transformation to obtain the value of correlation coefficient. The data extracted from the images are used for kinematic parameter analysis. Four parameters which are analyzed are center of mass position, take–off angle, jumping distance, and joint angles. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
spellingShingle Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
Setiadi, Steven
DEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS
description Long jump is one of many athletic sports branches where an athlete tries to jump as far as possible in horizontal direction from the jumping line. To produce the best jump result, all movements that happen during the long jump need to be analyzed. To date, movement analysis of the long jump always used markers because its accuracy is guaranteed, but using markers on the subject indirectly hinder the subject’s movement. Furthermore, setting up the markers take time and it doesn’t capture all body segments. Therefore, FTMD ITB’s Biomechanics Research Team developed a motion analysis system for long jump analysis using markerless optical motion capture system, so that the movements of long jump can be replicated without any hindrance to the subject. Development of markerless optical motion capture system is initiated with experiment preparation. This step consists of selecting the location and preparing a camera, a tripod, and a checkerboard pattern. The next step is camera calibration to get the camera parameters, followed by recording movements of long jump. The recording result is then inputted into a software called Matlab to be processed into data that can be used for image processing. Image processing steps used to analyze long jump movements consist of image segmentation, model generation, image registration, and post–processing. Results of data processing then compared to the result of manual segment transformation to obtain the value of correlation coefficient. The data extracted from the images are used for kinematic parameter analysis. Four parameters which are analyzed are center of mass position, take–off angle, jumping distance, and joint angles.
format Final Project
author Setiadi, Steven
author_facet Setiadi, Steven
author_sort Setiadi, Steven
title DEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS
title_short DEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS
title_full DEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS
title_fullStr DEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS
title_full_unstemmed DEVELOPMENT OF MARKERLESS OPTICAL MOTION CAPTURE FOR LONG JUMP ANALYSIS
title_sort development of markerless optical motion capture for long jump analysis
url https://digilib.itb.ac.id/gdl/view/52984
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