Animal Behavior Recording with Location-Corrected Sensor Fusion
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Solution Overview
Problem
Existing technologies for estimating animal posture and health conditions, such as those using acceleration and barometric pressure data, suffer from insufficient accuracy, leading to missed signs in predicting estrus and calving in cows.
Innovation Solution
An animal behavior recording device that combines acceleration and angular velocity data with location information to accurately estimate animal behavior, using a trained model and correction based on installation types within a breeding area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acceleration data and barometric pressure data are used to estimate animal posture, then the system can monitor animal behavior, but the estimation accuracy is insufficient
Solution Approach 1:
The patent combines acceleration data, angular velocity data, and location information from multiple sensors to estimate animal behavior. This multi-source data fusion approach resolves the contradiction by integrating complementary information streams to achieve both comprehensive monitoring and high estimation accuracy, eliminating the insufficient accuracy problem of single-sensor systems.
Solution Approach 2:
The system uses location information as feedback to correct behavior estimation results. The location data provides contextual information about the animal's environment and state, which is fed back into the estimation algorithm to refine and correct posture and behavior predictions, thereby improving overall estimation accuracy while maintaining comprehensive monitoring capabilities.
2Reliability
If only acceleration data is used for behavior estimation, then the system is simple, but the accuracy in predicting health conditions is insufficient
Solution Approach 1:
The patent merges acceleration sensors, angular velocity sensors, and location detection systems into an integrated monitoring platform. This combination improves health condition prediction reliability by providing multiple independent data streams that cross-validate each other, while the integrated architecture manages complexity through unified data processing and centralized control.
Solution Approach 2:
The system design enables multi-functional sensors and processing units that serve multiple purposes: acceleration data monitors both posture and activity levels, location information provides both positional data and contextual environment information, and the central processor handles both behavior estimation and health prediction. This universality improves reliability without proportionally increasing device complexity.
3Measurement precision
If location information is added to correct behavior estimates, then the accuracy improves, but the device complexity increases
Solution Approach 1:
The patent introduces location information as an intermediary element that mediates between raw sensor data and final behavior estimates. The location data acts as a contextual bridge, providing environmental and state information that helps interpret acceleration and angular velocity measurements more accurately, thereby improving estimation precision while adding manageable complexity through a well-defined intermediate data layer.
Data Source
AI summary
This animal behavior recording device is provided with a processing unit which acquires animal behavior information, that is, information indicating the behavior of an animal, acquires animal position information, that is, information indicating the positions where the animal is present, estimates the behavior of the animal on the basis of the animal behavior information and the animal position information, and records the behavior in time series. Acceleration data acquired from an acceleration sensor disposed on the animal and/or angular velocity data acquired from an angular velocity sensor disposed on the animal can be used as the animal behavior information, and the processing unit is capable of estimating the behavior of the animal on the basis of one of the animal behavior information and the animal position information and correcting the estimated behavior by using the other information.