Prikupljanje, sinkronizacija i analiza podataka tijekom pojedinačnog treninga borilačkih vještina

master's thesis

• Title (english): Collection, synchronization, and analysis of data acquired during individual martial arts training
• Author: Klara Haček
• Mentor: Danijel Pavković (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2024-07-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract

U sklopu ovog rada, analizirana je biomehanika elementarnih udaraca karakterističnih udaračkim borilačkim sportovima. Osobito je naglašena analiza kinematike udaraca u ovisnosti o vremenu reakcije na zvučne podražaje. Podaci za istraživanje prikupljeni su u Regionalnom centru izvrsnosti za robotske tehnologije u Zagrebu (CRTA) korištenjem uređaja za mjerenje brzine reakcije na zvučne podražaje baziranog na IMU tehnologiji i OptiTrack sustava za praćenje pokreta u trodimenzionalnom prostoru. U sklopu rada provedeno je precizno mjerenje, snimanje i analiza pokreta ispitanika. Principom fuzije senzora, omogućena je integracija podataka s različitih uređaja, pružajući sveobuhvatan uvid u kinetimatiku udaraca u kontekstu vremena. Sinkronizacija podataka dobivenih s različitih senzora provedena je identifikacijom različitih faza udaraca. Detekcija varijacija u izvođenju udaraca i procjena kvalitete tehnike ispitanika provedena je analizom podataka dobivenih primjenom algoritma dinamičkog vremenskog poravnavanja (DTW). Red veličine dobivenih rezultata u smislu pozicije i vremena naglašavaju važnost primjene precizne tehnologije u svrhu optimizacije udaračkih tehnika. Provedeno istraživanje u tehničkom aspektu omogućuje produbljenu biomehaničku analizu elemenatarnih udaraca u borilačkim sportovima te podržava razvoj individualnih programa koji poboljšavaju izvedbu boraca. Daljnje istraživanje moglo bi pružati uvid u utjecaj različitih struktura treninga na izvedbu sportaša.

Abstract (english)

This thesis investigates the biomechanics of fundamental strikes characteristic of martial arts, emphasizing the analysis of strike kinematics relative to auditory cue reaction times. The data was collected at the Regional Center of Excellence for Robotic Technologies in Zagreb (CRTA), utilizing an IMU-based device to measure reaction time to auditory stimuli and an OptiTrack system for three-dimensional motion tracking. This research involved precise measurement, recording, and analysis of participant movements. By employing sensor fusion principles, the integration of data from different devices was facilitated, offering a holistic view of strike kinematics within a temporal context. Data synchronization across different sensors was achieved by identifying distinct phases of the strikes. Variations in strike execution and the quality of technique were assessed through the analysis of data using the Dynamic Time Warping (DTW) algorithm. The positional and temporal precision of the results underscores the importance of employing advanced technology to optimize striking techniques. The technical aspects of this research provide a comprehensive biomechanical analysis of elementary strikes in martial arts. The research supports the development of personalized training programs that enhance fighter performance. Future research could explore the impact of various training structures on athlete performance, further contributing to the optimization of martial arts techniques.

• Keywords: borilačke vještine; kinematika udarca; IMU tehnologija; OptiTrack; analiza pokreta; Dinamičko vremensko poravnanje (DTW)
• Keywords (english): martial arts; strike kinematics; IMU technology; OptiTrack; motion analysis; Dynamic Time Warping (DTW)
• Language: croatian
• URN:NBN: urn:nbn:hr:235:434065
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-07-15 14:17:48