Analyze Diet

Quantifying show jumping horse rider expertise using IMUs.

Abstract: Horse rider ability has long been measured using horse performance, competition results and visual observation. Scientific methods of measuring rider ability on the flat are emerging such as measuring position angles and harmony of the horse-rider system. To date no research has quantified rider ability in show jumping. Kinematic analysis and motion sensors have been used in sports other than show jumping to measure the quality of motor control patterns in humans. The aim of this study was to quantify rider ability in show jumping using body-mounted IMUs. Preliminary results indicate that there are clear differences in experienced and novice riders during show jumping.
Publication Date: 2010-11-26 PubMed ID: 21095894DOI: 10.1109/IEMBS.2010.5626214Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This study explores the use of body-mounted Inertial Measurement Units (IMUs) to quantify the expertise of horse riders in show jumping. The research indicates discernable differences in the motion patterns of experienced and novice riders.

Introduction and Aims

  • In the past, the expertise of a horse rider has been gauged by the performance of the horse, the results of competitions, and visual observation. Recent advancements have introduced scientific methods to measure the ability of a horse rider, focusing on aspects like the positioning angles and the harmony in the system of the horse-rider.
  • This study is unique as, for the first time, it attempts to quantify the rider’s abilities specifically in the sport of show jumping. The technique revolves around the usage of kinematic analysis and motion sensors, a methodology previously employed in sports other than show jumping to assess the qualities of motor control patterns in human beings.

Methods

  • The core component in the methodology of this research is the Inertial Measurement Unit (IMU). The IMU is a device that measures the velocity, orientation, and gravitational forces by detecting changes in the linear and angular motion. In this study, these IMUs were body-mounted i.e., attached to the body of the participant riders.
  • With the IMUs attached to their bodies, the riders completed show jumping courses. The resultant data from the IMUs allowed researchers to examine motion patterns associated with the horse riding activity and quantify rider ability in the context of show jumping.

Preliminary Findings

  • The study’s initial findings suggest that there are distinct differences in novice and experienced riders during show jumping.
  • These differences can be traced in the recorded motion patterns, providing a quantitative measure of the riders’ abilities and skills.
  • Such results underline the potential of utilizing IMUs as a valid tool for assessing rider ability, not only for scientific research but potentially for training and competition as well.

Cite This Article

APA
Patterson M, Doyle J, Cahill E, Caulfield B, McCarthy Persson U. (2010). Quantifying show jumping horse rider expertise using IMUs. Annu Int Conf IEEE Eng Med Biol Soc, 2010, 684-687. https://doi.org/10.1109/IEMBS.2010.5626214

Publication

ISSN: 2375-7477
NlmUniqueID: 101763872
Country: United States
Language: English
Volume: 2010
Pages: 684-687

Researcher Affiliations

Patterson, M
  • CLARITY Centre, University College Dublin, Belfield, 4, Ireland.
Doyle, J
    Cahill, E
      Caulfield, B
        McCarthy Persson, U

          MeSH Terms

          • Acceleration
          • Animals
          • Equipment Design
          • Equipment Failure Analysis
          • Horses
          • Monitoring, Ambulatory / instrumentation
          • Movement / physiology
          • Pattern Recognition, Automated / methods
          • Sports / physiology
          • Transducers