2020
DOI: 10.3168/jds.2019-17611
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Short communication: Detection of mastication speed during rumination in cattle using 3-axis, neck-mounted accelerometers and fast Fourier transfer algorithm

Abstract: There have been limited reports on mastication speed during cattle rumination. The objective of this study was to establish a method to detect mastication speed based on data obtained during rumination through the use of a 3-axis accelerometer attached to the neck. A 3-axis accelerometer was attached to 6 dry Holstein cattle. When rumination behavior was observed, the accelerometer and the high-speed camera simultaneously recorded acceleration at the neck and moving image of the head movement. Based on the num… Show more

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Cited by 4 publications
(2 citation statements)
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“…Using optical flow and frame difference, they identified candidate rumination cattle oral regions and tracked the cattle's mouth within the area, enabling automatic monitoring of the rumination cattle's mouth area. Tamura et al 38 developed a method for detecting chewing speed using a tri-axial accelerometer connected to the cattle's neck. Using the fast Fourier transform algorithm, they analyzed neck vibration as rumination movement and calculated chewing time.…”
Section: Advances In Deep Learning-based Cattle Regurgitation Recogni...mentioning
confidence: 99%
“…Using optical flow and frame difference, they identified candidate rumination cattle oral regions and tracked the cattle's mouth within the area, enabling automatic monitoring of the rumination cattle's mouth area. Tamura et al 38 developed a method for detecting chewing speed using a tri-axial accelerometer connected to the cattle's neck. Using the fast Fourier transform algorithm, they analyzed neck vibration as rumination movement and calculated chewing time.…”
Section: Advances In Deep Learning-based Cattle Regurgitation Recogni...mentioning
confidence: 99%
“…As expected, the delta wave exhibited high amplitudes between 1 and 3 Hz and was particularly prominent between 1 and 2 Hz. These frequency values might potentially correspond to the delta wave or arise as a result of the rumination process [67]. The electromyographic signal has amplitudes in the range of mV, while the brain signal presents amplitudes in the range of µV.…”
Section: Signal Characterizationmentioning
confidence: 99%