Application of Wavelet Filtering to Analyze Acceleration-Time Curves of Horses Trotted on Different Surfaces

Kruse, Lisa M.; Salau, Jennifer; Traulsen, Imke; Krieter, Joachim

doi:10.1016/j.jevs.2012.02.013

Cited by 8 publications

(4 citation statements)

References 27 publications

(55 reference statements)

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“…However, there was a large overlap in activity counts recorded at the withers for different levels of activity in the different horses, and measurements allowed for only rough discrimination among standing, walking and trotting. Accelerometers have been used in horses to monitor various movement patterns in order to detect lameness [20] or to evaluate the influence of ground surface type on locomotion [21,22]. .…”

Section: Discussionmentioning

confidence: 99%

“…The cut-off value is the value of the activity count that best discriminates between both states. Accelerometers have been used in horses to monitor various movement patterns in order to detect lameness [20] or to evaluate the influence of ground surface type on locomotion [21,22]. Piccione and colleagues provided evidence for the strong daily rhythmicity of motor activity in horses using the Actiwatch activity datalogger (Mini-mitter; Philips Respironics), a former version of the ActiCal a device, strapped to the animals' necks [8].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of a wireless activity monitoring system to quantify locomotor activity in horses in experimental settings

Fries

Montavon

Spadavecchia

et al. 2016

Equine Veterinary Journal

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluation of a wireless activity monitoring system to quantify locomotor activity in horses in experimental settings

Fries

Montavon

Spadavecchia

et al. 2016

Equine Veterinary Journal

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“…[28] A discrete wavelet transform (DWT) up to the third level was performed to denoise the spectra data using the Haar wavelet. [29] Owing to the fact that the details associated with noise and the approximation signal mostly contained the important part of the original signal, [30] the high frequency coefficients of the third level were replaced by zeros while the other coefficients were kept. Then the inverse wavelet transform was applied to reconstruct the spectra data.…”

Section: Data Processingmentioning

confidence: 99%

Simultaneous Determination of Azorubin and New Red by Synchronous Fluorescence Spectra Coupled with Radial Basis Function Neural Networks

Kong

Zhu

et al. 2014

Spectroscopy Letters

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A method for the simultaneous determination of Azorubin and New Red was proposed, which used the synchronous fluorescence spectroscopy coupled with the radial basis function neural networks. The synchronous fluorescence spectra of 59 standards of Azorubin and New Red mixed with concentrations ranging from 5 to 20 mg mL À1 were obtained by synchronous scanning the excitation and emission monochromator maintained at an offset of 70 nm. A method of exploiting the complicated function relationship between the concentrations of Azorubin and New Red and the intensities of their mixtures was discussed according to the accuracies of the radial basis function neural networks predicting results. The final root mean square error is 0.1922 and the total mean relative error is 2.56%. Results show that the method developed is effective, simple, and of satisfactory accuracy.

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“…The objective of Precision Livestock Farming is to automatically inform farmers on the current health [2] or welfare status [3] of their animals and to help them make decisions based on analysed sensor data. Many developments have been presented in multidisciplinary studies using various cameras [4] [5], microphones [6], accelerometers [7] [8], and different other kinds of sensors. Unfortunately, most projects were never successfully implemented in the field.…”

Section: Introductionmentioning

confidence: 99%

How does the Behaviour of Dairy Cows during Recording Affect an Image Processing Based Calculation of the Udder Depth?

Salau¹,

Haas²,

Junge³

et al. 2018

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Precision Livestock Farming studies are based on data that was measured from animals via technical devices. In the means of automation, it is usually not accounted for the animals' reaction towards the devices or individual animal behaviour during the gathering of sensor data. In this study, 14 Holstein-Friesian cows were recorded with a 2D video camera while walking through a scanning passage comprising six Microsoft Kinect 3D cameras. Elementary behavioural traits like how long the cows avoided the passage, the time they needed to walk through or the number of times they stopped walking were assessed from the video footage and analysed with respect to the target variable "udder depth" that was calculated from the recorded 3D data using an automated procedure. Ten repeated passages were recorded of each cow. During the repetitions, the cows adjusted individually (p < 0.001) to the recording situations. The averaged total time to complete a passage (p = 0.05) and the averaged number of stops (p = 0.07) depended on the lactation numbers of the cows. The measurement precision of target variable "udder depth" was affected by the time the cows avoided the recording (p = 0.06) and by the time it took them to walk through the scanning passage (p = 0.03). Effects of animal behaviour during the collection of sensor data can alter the results and should, thus, be considered in the development of sensor based devices.

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Application of Wavelet Filtering to Analyze Acceleration-Time Curves of Horses Trotted on Different Surfaces

Cited by 8 publications

References 27 publications

Evaluation of a wireless activity monitoring system to quantify locomotor activity in horses in experimental settings

Evaluation of a wireless activity monitoring system to quantify locomotor activity in horses in experimental settings

Simultaneous Determination of Azorubin and New Red by Synchronous Fluorescence Spectra Coupled with Radial Basis Function Neural Networks

How does the Behaviour of Dairy Cows during Recording Affect an Image Processing Based Calculation of the Udder Depth?

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