Pet Emotion Detection via Brainwave Characteristic Values
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Solution Overview
Problem
Current methods for determining a pet's emotional status through sounds and body movements are not sufficiently accurate and cannot be generalized due to individual differences among pets.
Innovation Solution
An emotion detection system comprising a brainwave detecting device, a computing device, and an output/input device that processes brain wave characteristic values to determine if they correspond to a stable emotional state and match predefined emotional statuses, updating the emotion template when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If emotion detection is based on sounds and body movements, then the detection method is simple, but the accuracy is insufficient and cannot be generalized due to individual differences
Solution Approach 1:
The patent replaces traditional mechanical observation methods (listening to sounds, observing body movements) with electroencephalography (EEG) technology to directly detect brain wave signals. This substitution enables more accurate and personalized emotion detection by measuring neural activity patterns that are inherently individual-specific, thereby resolving the contradiction between detection accuracy and system complexity.
Solution Approach 2:
The patent transforms brain wave signals into characteristic values through parameter extraction and analysis. By changing the representation of emotion data from raw brain wave signals to processed characteristic values, the system achieves higher measurement precision while maintaining manageable system complexity through efficient data processing.
2Adaptability or versatility
If a universal emotion detection method is applied to all pets, then the system is simple, but it cannot account for individual differences among pets
Solution Approach 1:
The patent performs preliminary action by establishing a personalized emotion template for each pet before actual emotion detection. The system first collects brain wave data during known emotional states and creates a unique template specific to that pet. This preliminary template creation enables high adaptability to individual differences without requiring complex real-time adjustment mechanisms during actual detection.
Solution Approach 2:
The patent creates a copy of the pet's unique brain wave pattern characteristics to form an emotion template. By copying and storing the individual's neural response patterns, the system can later recognize and identify emotions specific to that pet without needing to relearn or adapt to each individual pet's unique characteristics during detection.
3Measurement precision
If brain wave detection is used to improve accuracy, then emotion detection becomes more precise, but the device complexity increases
Solution Approach 1:
The patent extracts only the essential characteristic values from the complex brain wave signals for emotion detection. By taking out and focusing on specific meaningful features (characteristic values) rather than processing the entire raw signal, the system achieves high measurement precision while reducing the computational and device complexity required for analysis.
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
Provides a more accurate and personalized understanding of a pet's emotional state, allowing for the creation of customized emotion templates for improved pet-owner interaction.
Implementation Method 1
a brainwave detecting device configured for detecting a plurality of brain waves of the pet
Data Source
AI summary
An emotion detecting device includes a memory, a processor and an output/input device. An emotion template with a plurality of emotional statuses is stored in the memory. The processor is configured to receive characteristic values transformed from brain waves of a pet and determine whether the brain waves correspond to a stable state based on variation of the characteristic values during a period. When it is determined that the brain waves correspond to the stable state, the processor determines whether the brain waves match some emotional status among the emotional statuses. When the brain waves match the emotional status, the output/input device outputs information regarding the pet being in the emotional status. When the brain waves do not match any of the emotional statuses in the emotion template, the processor updates the emotion template based on a confirm operation and the characteristic values.