Biometric Data Merging System for Real-Time Audio-Visual Adaptation
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Solution Overview
Problem
Current technologies lack effective methods to utilize biometric and neurometric data for enhancing sensory experiences, such as merging brain wave data with user-provided content in real-time to create coherent and impactful audio-visual outputs.
Innovation Solution
A system that processes biometric and neurometric data using EEG headsets and other devices, merging this data with user-provided content to generate customizable, interactive sensory experiences through a common vocabulary and parameter file, allowing real-time modification of audio and visual outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If biometric data is processed in real-time to create interactive sensory experiences, then the adaptability and interactivity of the system is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system segments the biometric data processing into distinct modules: EEG signal acquisition, frequency band analysis (alpha, beta, gamma, theta), musical note translation, and audio synthesis. Each module processes specific aspects of the data independently, making the complex real-time processing manageable and scalable.
Solution Approach 2:
The patent introduces an intermediary processing layer that translates raw EEG frequencies into musical notes and audio outputs. This intermediary layer acts as a bridge between the complex biometric data and the sensory output, simplifying the overall system architecture while maintaining real-time interactivity.
2Quantity of substance
If multiple biometric data sources are merged and processed concurrently, then the quantity of processed data and system capability is improved, but the measurement precision and data processing difficulty increase
Solution Approach 1:
The system segments different biometric data sources (EEG, heart rate, respiratory rate) into separate processing channels, analyzing each data type independently before integrating them. This segmentation maintains measurement precision by preventing data type interference while increasing overall data processing capacity.
Solution Approach 2:
The patent applies partial processing to each biometric data source, focusing on specific frequency bands relevant to each measurement type. This selective processing approach handles multiple data sources efficiently without overwhelming the system or sacrificing precision in any single measurement.
3Speed
If real-time processing of biometric data is implemented, then the speed of response and interactivity is improved, but the energy consumption and processing time increase
Solution Approach 1:
The system implements periodic processing of biometric data, analyzing EEG signals in discrete frequency bands (alpha, beta, gamma, theta) rather than continuous processing. This periodic approach maintains real-time responsiveness while reducing overall energy consumption by processing data in structured intervals.
Solution Approach 2:
The patent processes only the necessary frequency bands and parameters required for the current sensory output, rather than processing all possible biometric data continuously. This selective partial processing reduces energy consumption while maintaining the speed of response for the specific task at hand.
Data Source
AI summary
Systems and methods are provided for using a common “vocabulary,” predefined or dynamically generated based on user-provided content, to transform biometric and/or neurometric data collected from one or more people into a coherent audio and/or visual result. One method comprises receiving a first incoming signal from a bio-generated data sensing device worn by a first user; determining a first set of output values based on the first incoming signal, a common vocabulary comprising a list of possible output values, and a parameter file comprising a set of instructions for applying the common vocabulary to the first incoming signal to derive the first set of output values; generating a first output array comprising the first set of output values; and providing the first output array to an output delivery system configured to render the first output array as a first audio and/or visual output.