Biometric State Song Generation for Personalized Physiological Control
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Solution Overview
Problem
Individuals face challenges in controlling state-dependent behaviors, such as those associated with PTSD, depression, and anxiety, which are difficult to manage and often lead to negative physiological and external behaviors.
Innovation Solution
A system and method that transform biometric data into sound, known as 'state-songs,' which are personalized and designed to induce specific internal states in users by encoding and modeling their biometric data to generate music that influences their physiological and emotional states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to control state-dependent behaviors, then general applicability is maintained, but effectiveness in inducing specific states is insufficient
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing biometric data during baseline periods to establish individual patterns before actual state induction is needed. This pre-processing of biometric information enables the system to quickly generate personalized state songs without requiring real-time complex analysis during state induction events.
Solution Approach 2:
The system creates copies of biometric patterns by generating state songs that replicate and reinforce desired physiological states. The state songs serve as acoustic copies of the target state's biometric signature, allowing the system to induce states by playing back acoustic representations of those states derived from the user's own biometric data.
2Reliability
If personalized state songs are generated using individual biometric data, then effectiveness in state induction is improved, but system complexity increases
Solution Approach 1:
The system segments the complex task of state induction into distinct modules: biometric data collection, pattern recognition, state song generation, and playback control. Each module handles a specific aspect of the process, reducing overall system complexity while maintaining personalization accuracy. The segmentation allows independent optimization and testing of each component.
Solution Approach 2:
The system introduces an intermediary layer of biometric pattern recognition algorithms that translate raw biometric data into meaningful state indicators. This intermediary processing layer simplifies the connection between complex biometric measurements and the generation of state songs, acting as a mediator that reduces computational complexity while preserving personalization.
3Measurement precision
If multiple biometric parameters are analyzed, then state identification accuracy is improved, but measurement and processing difficulty increases
Solution Approach 1:
The system merges multiple biometric parameter streams into a unified state identification model. By combining data from different physiological sensors and processing them through integrated pattern recognition algorithms, the system achieves accurate state identification without requiring separate analysis pipelines for each parameter, thus reducing measurement complexity while maintaining precision.
Data Source
AI summary
Embodiments are generally directed to methods, systems and devices for generating and playing back a personalized state song representing a target state of a user. In one scenario, a computer system accesses biometric data corresponding to various bodily systems of a user. The computer system encodes the biometric data into data structures that are configured for modeling using an algorithm that is specific to the user. The computer system models the encoded biometric data to identify specified patterns in the encoded biometric data, and these identified patterns are used to generate a personalized algorithm that corresponds with the identified patterns unique to the user. The computer system then synthesizes a state song using the personalized algorithm, which represents a specific biometric state for one of the bodily systems, and plays back the state song to the user to induce the user to the specific biometric state.