Journal of Sports Science and Medicine
Journal of Sports Science and Medicine
ISSN: 1303 - 2968   
Ios-APP Journal of Sports Science and Medicine
Androit-APP Journal of Sports Science and Medicine
Views
5776
Download
168
from September 2014
 
©Journal of Sports Science and Medicine (2006) 05, 590 - 596

Research article
Maximizing Height, Distance or Rotation from Real-Time Analysis Visualisation of Take-Off Angles and Speed
Richard Green 
Author Information
Department of Computer Science, University of Canterbury, New Zealand

Richard Green
‚úČ Department of Computer Science, University of Canterbury, New Zealand
Email: richard.green@canterbury.ac.nz
Publish Date
Received: --
Accepted: --
Published (online): 15-12-2006
Share this article
 
 
ABSTRACT

Studies to optimise take off angles for height or distance have usually involved either a time-consuming invasive approach of placing markers on the body in a laboratory setting or using even less efficient manual frame-by-frame joint angle calculations with one of the many sport science video analysis software tools available. This research introduces a computer-vision based, marker-free, real-time biomechanical analysis approach to optimise take-off angles based on speed, base of support and dynamically calculated joint angles and mass of body segments. The goal of a jump is usually for height, distance or rotation with consequent dependencies on speed and phase of joint angles, centre of mass COM) and base of support. First and second derivatives of joint angles and body part COMs are derived from a Continuous Human Movement Recognition (CHMR) system for kinematical and what-if calculations. Motion is automatically segmented using hierarchical Hidden Markov Models and 3D tracking is further stabilized by estimating the joint angles for the next frame using a forward smoothing Particle filter. The results from a study of jumps, leaps and summersaults supporting regular knowledge of results feedback during training sessions indicate that this approach is useful for optimising the height, distance or rotation of skills.

Key words: Gymnastics, jumping, three-dimensional kinematics, computer vision


           Key Points
  • Computer-vision based marker-free tracking.
  • Real-time biomechanical analysis.
  • Improve tracking using a forward smoothing Particle filter.
  • Automatically segment using hierarchical Hidden Markov Models.
  • Recognize skills using segmented motion.
  • Optimize take-off angles using speed, base of support, joint angles and mass of body segments.
  • Optimize height, distance or rotation of skills.
 
 
Home Issues About Authors
Contact Current Editorial board Authors instructions
Email alerts In Press Mission For Reviewers
Archive Scope
Supplements Statistics
Most Read Articles
  Most Cited Articles
 
  
 
JSSM | Copyright 2001-2020 | All rights reserved. | LEGAL NOTICES | Publisher

It is forbidden the total or partial reproduction of this web site and the published materials, the treatment of its database, any kind of transition and for any means, either electronic, mechanic or other methods, without the previous written permission of the JSSM.

This work is licensed under a Creative Commons License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.