Animal Tag Accelerometer Gravity Compensation for Behavior Tracking
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Solution Overview
Problem
Integrating orientation sensors into animal tags is challenging due to their energy demands and size constraints, making it difficult to monitor animal behavior reliably and efficiently.
Innovation Solution
An animal tag equipped with a three-dimensional accelerometer and a processing unit that estimates gravity-related components from acceleration data, allowing for the detection of rise-up and lie-down movements without gyroscopic sensors, and transmits behavior-related data wirelessly for positioning and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gyroscopic sensors are used to measure orientation parameters, then measurement precision is improved, but use of energy increases and device complexity increases
Solution Approach 1:
The patent replaces gyroscopic sensors (mechanical orientation sensing system) with a combination of accelerometer and algorithmic processing. The accelerometer measures acceleration data, and the processing unit derives orientation information by analyzing changes in acceleration patterns and compensating for gravity components, thereby substituting a mechanical sensing system with a less energy-intensive sensor plus computational approach
Solution Approach 2:
The patent introduces a processing unit as an intermediary between the accelerometer and the orientation measurement output. This processing unit performs complex calculations including deriving gravity components, compensating for gravitational effects, and interpreting acceleration patterns to determine orientation, thereby mediating between the simple accelerometer sensor and the sophisticated orientation measurement function
2Measurement precision
If gyroscopic sensors are integrated into animal tags, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent substitutes the complex gyroscopic sensor system with a simpler accelerometer-based approach. The accelerometer is a more straightforward sensor to integrate, and the processing unit handles the computational complexity of deriving orientation data, thereby reducing overall device integration complexity while maintaining measurement capability
Solution Approach 2:
The processing unit serves multiple functions: it processes accelerometer data, derives gravity components, compensates for gravitational effects, determines orientation, and tracks animal behavior. This multi-functional approach eliminates the need for separate dedicated orientation sensors, reducing device complexity while maintaining comprehensive measurement capabilities
3Use of energy by moving object
If accelerometer data is processed to derive orientation information, then use of energy is reduced, but measurement precision may be compromised
Solution Approach 1:
The processing unit acts as an intermediary that performs sophisticated calculations on accelerometer data, including deriving gravity components and compensating for gravitational effects. This computational mediation enables the system to extract accurate orientation information from the low-power accelerometer sensor, bridging the gap between energy efficiency and measurement precision
Solution Approach 2:
The system continuously processes accelerometer data to derive current orientation information and uses this feedback to update behavior tracking and positioning calculations. This continuous feedback loop enables real-time orientation determination with adequate precision for animal behavior monitoring applications
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
Enables energy-efficient detection of complex motion patterns and precise tracking of animal behavior, including altitude changes and activity times, with reduced power consumption and accurate positioning of the animal.
Implementation Method 1
a three-dimensional accelerometer configured to register a first set of acceleration parameters expressing a respective acceleration of the animal tag along each of three independent spatial axes
Data Source
AI summary
A three-dimensional accelerometer in an animal tag registers a first set of acceleration parameters expressing a respective acceleration of the tag along each of three independent spatial axes. A processor in the tag derives a respective estimated gravity-related component in each parameter in the first set, and compensates for the respective estimated gravity-related components in the first set to obtain a second set of acceleration parameters representing respective accelerations of the animal tag along each of three independent spatial axes each in which the parameter is balanced around a base level with no influence of gravitation. The processor determines behavior-related data of rise-up and/or lie-down movements of an animal carrying the animal tag based on deviations in a single parameter in the second set of acceleration parameters relative to the base level.