Rumination Measurement via Accelerometer Signal Segmentation
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Solution Overview
Problem
Current methods for measuring rumination in animals are not reliable, accurate, or precise enough for commercial farm management, and they often fail to effectively monitor activity and feed consumption, which are crucial for health and breeding management.
Innovation Solution
A sensor and processing device arrangement that uses an accelerometer attached to an animal's neck or collar to detect jaw movement during rumination by processing acceleration signals, removing DC components, determining signal sizes within specific frequency bands, and comparing these sizes to threshold values to accurately identify rumination, while also considering signals outside the selected frequency band for enhanced reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If activity meters and simple sensors are used to track animal activity, then the device complexity is low and ease of operation is high, but the measurement precision and reliability of rumination detection are insufficient
Solution Approach 1:
The patent segments the acceleration signal into different frequency bands (0.5-2.5 Hz for rumination, 2.5-5 Hz for other activities) to distinguish rumination from other animal movements. This frequency-based segmentation enables precise rumination detection while maintaining relatively simple processing algorithms.
Solution Approach 2:
The patent implements dynamic threshold adjustment where the threshold for rumination detection is not fixed but adapts based on the animal's individual activity patterns and environmental conditions. This dynamic approach improves measurement precision without requiring overly complex preprocessing.
2Measurement precision
If frequency band filtering and signal processing are applied to improve rumination detection accuracy, then measurement precision improves, but processing time and computational requirements increase
Solution Approach 1:
The patent performs preliminary actions by continuously monitoring and establishing baseline activity patterns for each animal before formal rumination detection begins. This preprocessing creates ready-to-use reference data that speeds up subsequent real-time detection, reducing processing time while maintaining high accuracy.
Solution Approach 2:
The patent applies partial filtering by focusing computational resources only on the relevant frequency bands (0.5-5 Hz) rather than processing the entire spectrum. This selective approach achieves high detection accuracy while minimizing unnecessary computational overhead and processing time.
3Reliability
If multiple frequency bands are analyzed to distinguish rumination from other activities, then reliability of detection improves, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments the acceleration signal into distinct frequency bands (0.5-2.5 Hz for rumination, 2.5-5 Hz for other activities) to reliably distinguish rumination from eating, resting, and other behaviors. This frequency-based segmentation enables accurate behavior classification while maintaining relatively simple processing algorithms.
Solution Approach 2:
The patent focuses computational analysis only on the relevant frequency ranges (0.5-5 Hz) that contain rumination and other behavioral signals, rather than processing the entire frequency spectrum. This selective approach improves detection reliability while avoiding unnecessary processing complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides reliable, accurate, and precise measurement of rumination, enabling effective animal management by distinguishing rumination from other activities and feed consumption, thereby improving health and breeding outcomes.
Implementation Method 1
The sensor comprises an accelerometer for repeatedly sensing acceleration
Data Source
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Figure 3a~3d
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AI summary
An arrangement (10) for measuring rumination of an animal (11) comprises a sensor (12) comprising an accelerometer for repeatedly sensing an acceleration and configured to be attached to a portion (11a) of the animal, the movement of which being correlated to the movement of the jaws of the animal during rumination; and a processing device (13) operatively connected to the accelerometer to obtain the repeatedly sensed acceleration as an acceleration signal. The processing device is configured (i) to process the acceleration signal, thereby removing a DC component from the acceleration signal, (ii) to repeatedly determine a size of the processed acceleration signal in a selected frequency band, (iii) to determine a first threshold value, and (iv) at each time the size of the processed repeatedly sensed acceleration in the selected frequency band has been determined, to compare the last determined size of the processed acceleration signal in the selected frequency band and the first threshold value, and to determine that the animal is ruminating if a rumination condition is met, wherein the rumination condition comprises that the last determined size of the processed acceleration signal in the selected frequency band is higher than the first threshold value.