Pet Behavior Monitoring via Sensor Segmentation and Dynamic Sampling
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Solution Overview
Problem
Existing pet condition sensing systems fail to accurately monitor animal behavior due to external influences, leading to false positives and negatives, as they cannot neutralize the effects of household environment and owner activities on pet movement patterns.
Innovation Solution
A system comprising a primary sensor unit attached to the pet, a secondary sensor unit for environmental data, and an analysis unit that uses machine learning to collect and analyze acceleration data, historical pet data, and environmental data to define the pet's condition, adjusting data collection rates based on initial analysis results and utilizing attribute extraction modules to determine behavioral states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor is used to monitor pet movement patterns, then the system is simple and low-cost, but the measurement precision deteriorates due to external influences causing false positives and negatives
Solution Approach 1:
The system divides the monitoring function into multiple independent sensor units (primary sensor unit on the pet and secondary sensor units in the environment) that collect data separately. This segmentation allows each sensor to focus on specific aspects of behavior while the system as a whole achieves comprehensive and accurate monitoring by integrating their respective data streams.
Solution Approach 2:
The system introduces an intermediary analysis layer that processes and correlates data from multiple sensors before generating behavioral conclusions. This intermediary layer neutralizes external influences by comparing patterns across sensors, thereby improving measurement precision without requiring each individual sensor to be overly complex.
2Measurement precision
If data collection rate is increased to capture all behavioral patterns, then the measurement precision improves, but the use of energy and data processing load increase
Solution Approach 1:
The system dynamically adjusts the data collection rate based on the pet's current activity state. During periods of significant behavioral changes or unusual patterns, the sampling rate increases to capture detailed information. During normal stable periods, the rate decreases to conserve energy. This dynamic adaptation maintains measurement precision while optimizing energy consumption.
Solution Approach 2:
The system changes operational parameters (data collection rate) based on detected behavioral states. When the pet exhibits normal patterns, the system reduces sampling frequency. When unusual or significant behaviors are detected, the system increases sampling frequency, thereby maintaining accuracy during critical moments while reducing overall energy consumption.
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 system effectively neutralizes external influences, reducing false positives and negatives by providing accurate behavioral and medical data analysis, enabling reliable pet condition monitoring.
Implementation Method 1
at least one 3D accelerator sensor attached to said pet; and a control unit connected with said 3D accelerator sensor and configured to collect acceleration data indicative of selected movements from said sensor
Data Source
AI summary
A system and method for behavioral analysis of a household pet. The system includes a sensor unit having at least one 3D accelerator sensor attached to the pet, a control unit connected with the 3D accelerator sensor and configured to collect acceleration data indicative of selected movements from the sensor. The control unit being configured to perform an initial analysis of the collected sensor data. The system further includes an analysis unit communicating with the control unit, the analysis unit configured to upload the collected sensor data and to receive additional data pertaining at least to the household environment and to the pet's historical condition and to define the pet's condition accordingly by neutralizing the additional data effects, wherein the data collection rate from the sensor is selected in accordance with at least the initial analysis results.