Accuracy and precision of gait events derived from motion capture in horses during walk and trot

Boye, J; Thomsen, Maj Halling; Pfau, Thilo; Olsen, E. G. J.

doi:10.1016/j.jbiomech.2013.12.018

Cited by 22 publications

(42 citation statements)

References 26 publications

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“…Nevertheless, the hoof-off kinematic detection method reported here demonstrated better accuracy at trot in the hindlimbs than the methods used by Starke and Clayton [9]. The hoof-off event at trot was comparable with some of the methods described by Boye et al [3]; however, the detection methods used in the earlier work appear to be more complex to execute than those employed in the present study. Some methods [3,7,9] are also dependent on velocity thresholds.…”

Section: Discussionsupporting

confidence: 48%

“…The hoof‐off event at trot was comparable with some of the methods described by Boye et al . ; however, the detection methods used in the earlier work appear to be more complex to execute than those employed in the present study.…”

Section: Discussionmentioning

confidence: 83%

“…Some methods are also dependent on velocity thresholds. Surface properties can influence parameters such as hoof landing velocity , which may affect the repeatability of these methods if used on compliant surfaces.…”

Section: Discussionmentioning

confidence: 99%

“…Previous validations of kinematic gait events against force data have reported high levels of accuracy and precision [2,3,[6][7][8][9]. Most of these studies use hoof markers for event detection, but precise visual determination of hoof contact and lift off is difficult, especially on compliant surfaces [2,10].…”

Section: Introductionmentioning

confidence: 99%

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A simple method for equine kinematic gait event detection

Holt

George

Clayton³

et al. 2017

Equine Veterinary Journal

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Section: Discussionsupporting

confidence: 48%

Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A simple method for equine kinematic gait event detection

Holt

George

Clayton³

et al. 2017

Equine Veterinary Journal

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“…The algorithm is based on direct kinematic data collected by the motion capture cameras 9. A detailed description of the motion capture algorithms is provided as Supplementary Item 3.…”

Section: Methodsmentioning

confidence: 99%

Validation of distal limb mounted inertial measurement unit sensors for stride detection in Warmblood horses at walk and trot

Bragança

Bosch

Voskamp³

et al. 2016

Equine Veterinary Journal

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SummaryBackgroundInertial measurement unit (IMU) sensor‐based techniques are becoming more popular in horses as a tool for objective locomotor assessment.ObjectivesTo describe, evaluate and validate a method of stride detection and quantification at walk and trot using distal limb mounted IMU sensors.Study designProspective validation study comparing IMU sensors and motion capture with force plate data.MethodsA total of seven Warmblood horses equipped with metacarpal/metatarsal IMU sensors and reflective markers for motion capture were hand walked and trotted over a force plate. Using four custom built algorithms hoof‐on/hoof‐off timing over the force plate were calculated for each trial from the IMU data. Accuracy of the computed parameters was calculated as the mean difference in milliseconds between the IMU or motion capture generated data and the data from the force plate, precision as the s.d. of these differences and percentage of error with accuracy of the calculated parameter as a percentage of the force plate stance duration.ResultsAccuracy, precision and percentage of error of the best performing IMU algorithm for stance duration at walk were 28.5, 31.6 ms and 3.7% for the forelimbs and −5.5, 20.1 ms and −0.8% for the hindlimbs, respectively. At trot the best performing algorithm achieved accuracy, precision and percentage of error of −27.6/8.8 ms/−8.4% for the forelimbs and 6.3/33.5 ms/9.1% for the hindlimbs.Main limitationsThe described algorithms have not been assessed on different surfaces.ConclusionsInertial measurement unit technology can be used to determine temporal kinematic stride variables at walk and trot justifying its use in gait and performance analysis. However, precision of the method may not be sufficient to detect all possible lameness‐related changes. These data seem promising enough to warrant further research to evaluate whether this approach will be useful for appraising the majority of clinically relevant gait changes encountered in practice.

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Biomimetic walking mechanisms: Kinematic parameters of goats walking on different slopes

Zhang

Li-min

et al. 2018

Concurrency and Computation

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Summary In order to study bionic walking machinery, the uphill walking processes on different slopes (0°, 10°, 20°, and 30°) were recorded by a high speed video system (VRI Phantom M110). The kinematics parameters of goat slope are analyzed using PCC and ORIGIN software. Goat's average speed decreases with the increase in gradient. The average speed of goats on the 0° slope, 10° slope, 20° slope, and 30° slope are 1.72 m/s, 1.352 m/s, 0.742 m/s, and 0.609 m/s. In the Y axis direction, the variation ranges from 0.1 m to 0.37 m. The left hind legs are basically the same as the feet of the right hind legs. In the Y axis direction, the variation ranges from 0.1 m to 0.195 m. The length of the change in the X axis is greater than the posterior foot. The range of hip joint angle changes is from 46.10 to 135.50. The knee joint angle changes is from 87.90 to 179.80. The hip joint angle of hind leg changes from 115.30 to 1700. The knee joint angle of hind leg changes from 80.50 to 172.80. The present research can provide theoretical basis for the design of a biomimetic agricultural walking mechanism.

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Accuracy and precision of gait events derived from motion capture in horses during walk and trot

Cited by 22 publications

References 26 publications

A simple method for equine kinematic gait event detection

A simple method for equine kinematic gait event detection

Validation of distal limb mounted inertial measurement unit sensors for stride detection in Warmblood horses at walk and trot

Biomimetic walking mechanisms: Kinematic parameters of goats walking on different slopes

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