A Vision Based Approach for Assessing Equine Locomotion and Whole-Body Vibration Induced on a Horse Rider

Date

2013-07-05

Author

Tanil, Gozde
Soylu, Reşit

Metadata

Show full item record

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

Item Usage Stats

182
views

0
downloads

Biomechanical systems such as horse locomotion are investigated by using inertial sensor systems composed of accelerometers, gyroscopes and magnetometers, or by optical motion tracking systems. The major difficulty in the inertial sensor systems is the integration process. Furthermore, the signals possess noise that has to be filtered. On the other hand, the motion tracking systems are expensive and mostly adapted to indoor laboratory conditions. Hence, in some studies, horses are trained to walk on treadmills with various speeds. This training process is time consuming and may lead to unnatural gaits. In this study, an inexpensive, portable vision system for tracking the motion in a large calibration volume is designed; and an algorithm for obtaining kinematics of a rigid body is developed and implemented in MATLAB. Using the overall system, it is possible to determine the position, velocity and acceleration of any point in the calibration volume which may contain multiple rigid bodies. The point of interest may correspond to points which do not allow an accelerometer to be mounted, or points which are invisible to the cameras. This is the major advantage of our method. A singularity analysis of the algorithm, which yields useful information on the positioning of the markers that are to be tracked by the vision system, is also performed. The method is used to study the whole-body vibrations (WBV) imposed on a horse rider. To the authors' knowledge, there exists no studies on this topic in the literature. Regarding the imposed WBV, the differences between the gaits of the same horse and the differences between the gaits of different horses (executing the same gait) are investigated. The results are experimentally shown to be consistent with the comfort assessment of four experienced riders.

Subject Keywords

Horse, Inertial sensor system, Kinematics, Motion tracking, Vision system, Whole-body vibration

URI

https://hdl.handle.net/11511/54905

Collections

Department of Mechanical Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A comparative study on tightly coupled visual aided inertial navigation systems for unmanned aerial vehicles İnce, Talha; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2018) An Inertial Navigation System (INS) is a combination of hardware (accelerometers and gyroscopes) and algorithms to calculate the position, orientation and velocity of a mobile platform. Because of the need to integrate the measurements over time, INS is subjected to cumulative error characteristics, hence cannot provide an accurate navigation solution over long durations. Global Positioning System (GPS) is often used for long time-long distance problems aiding INS. GPS relies on external signals received fr...
A new jacobian matrix calculation method to decrease computational time in periodic force response analysis of nonlinear structures Kızılay, Hazım Sef; Ciğeroğlu, Ender; Department of Mechanical Engineering (2019) The contact interfaces between the components used in high speed systems such as the turbo machinery cause nonlinear vibrations. In order to understand the dynamic characteristic of nonlinear systems, it is important to perform nonlinear vibration analysis. In nonlinear vibration analysis, due to the properties of nonlinear elements used, it is not possible to calculate the Jacobian matrix analytically or it becomes very complicated and difficult, therefore, Jacobian matrix is calculated as numerically. In ...
A non-linear mathematical model for dynamic analysis of spur gears including shaft and bearing dynamics Özgüven, Hasan Nevzat (Elsevier BV, 1991-3) A six-degree-of-freedom non-linear semi-definite model with time varying mesh stiffness has been developed for the dynamic analysis of spur gears. The model includes a spur gear pair, two shafts, two inertias representing load and prime mover, and bearings. As the shaft and bearing dynamics have also been considered in the model, the effect of lateral-torsional vibration coupling on the dynamics of gears can be studied. In the non-linear model developed several factors such as time varying mesh stiffness an...
Identification of inertial sensor error parameters Altınöz, Bağış; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2015) Inertial sensors (gyroscopes and accelerometers) that are used in navigation systems have distinct error characteristics such as bias, scale factor, random walk, etc. Calibration and characterization tests are done with 2 or 3 axes rate tables in order to identify these errors. It is possible to utilize error characteristics of these devices, and the navigation accuracy is directly dependent on the accuracy of this identification process. In this thesis, inertial sensor error parameters are identified by a ...
A Novel Software for Automatic Calibration Factor Measurement of RF Power Sensors Kizilbey, Oguzhan; Arslan, Murat; Bayrak, Yusuf; Çetinkaya, Anıl; Yugruk, Aydin; Danaci, Erkan (2022-01-01) In this letter, a software for calibration factor (CF) measurement of radio frequency (RF) power sensors (PS) by using VNA-based direct comparison transfer method (VBDCTM) was developed on C# platform. Measurements were performed between 10 MHz and 18 GHz frequency range. When the calibration factors calculated with conventional CF measurement method and novel software were compared, a maximum difference of 4.56% was found in the 10 MHz - 18 GHz frequency band. Therefore, the automatic CF measurement softwa...

Citation Formats

G. Tanil and R. Soylu, “A Vision Based Approach for Assessing Equine Locomotion and Whole-Body Vibration Induced on a Horse Rider,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54905.