Animal Behavior Control System Using Feedback Music Selection
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Solution Overview
Problem
Existing music providing systems for non-human animals, such as pets and livestock, are inefficient in remotely calming them down, as they require multiple music trials and may lose effectiveness over time due to individual animal differences, and lack automated control over behavioral states.
Innovation Solution
A music providing system that includes a state information acquisition unit, a state estimation processing unit, a target state storage unit, a sound source storage unit, a music information selecting unit, and a music information output unit, which automatically selects and outputs music based on the animal's behavioral state divergence from a target state, adjusting until the desired behavioral state is achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple pieces of music are tested to find effective music for individual animals, then the healing effect can be optimized for each animal, but the time and cost required becomes prohibitively large
Solution Approach 1:
The system continuously monitors the animal's behavioral state through sensors (accelerometers, microphones, cameras) and uses this feedback to automatically adjust music selection. The state estimation processing unit compares current behavioral state with target state, and the music information selecting unit adjusts music selection based on the degree of divergence, eliminating the need for manual trial-and-error testing
Solution Approach 2:
The system enables animals to receive appropriate music therapy automatically without human intervention. The music information output unit outputs selected music information to speakers in the animal's region, creating a self-regulating system that adapts to each animal's needs in real-time based on monitored behavioral data
2Measurement precision
If remote monitoring of animal behavioral state is implemented, then the current state of the animal can be checked, but the ability to actively control or change the behavioral state is limited
Solution Approach 1:
The system combines multiple functions into one integrated platform: state information acquisition through sensors, state estimation through arithmetic processing, target state storage, sound source storage, music information selection based on divergence detection, and music output to speakers. This multi-functional system transitions from passive monitoring to active behavioral state control
Solution Approach 2:
The system changes music parameters (type, tempo, frequency) based on the detected degree of divergence between current and target behavioral states. The music information selecting unit selects different music information to systematically adjust the animal's behavioral state parameters until the target state is achieved
Data Source
AI summary
In order to achieve a music providing system capable of controlling the behavioral state of a non-human animal using music, this music providing system for a non-human animal is provided with: a state information acquisition unit for acquiring state information relating to the motion state of an animal of interest; a state estimation processing unit for estimating the current behavioral state of the animal of interest from the state information; a target state storage unit for storing information relating to a target behavioral state for the animal of interest; a sound source storage unit for storing multiple music information pieces; a music information selection unit for detecting the degree of divergence of the current behavioral state from the target behavioral state and selecting one specific music information piece on the basis of the multiple music information pieces stored in the sound source storage unit; and a music information output unit for outputting the specific music information by wireless communication or wired communication to a speaker provided within a region in which the animal of interest is present. The music information selection unit performs the processing for selecting a different specific music information piece until the degree of divergence becomes a first threshold value or less.