Auditory Biometric System for Real-Time Playlist Adaptation

Solution Overview

Problem

Conventional systems fail to generate user-specific playlists in real-time based on a user's physiological state, resulting in generic and static playlists that do not effectively target a user's desired biometric state.

Innovation Solution

A biometric auditory system that utilizes real-time biometric data processing to generate customized playlists by applying user data to a trained model, which is trained using historic records of multiple users, to output audio files tailored to the user's current biometric state.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional systems use generic playlists based on activity type, then the system complexity is low and ease of operation is high, but the adaptability to individual user biometric states is poor

Engineering Contradiction:

Improveadaptability to user biometric stateVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by collecting and storing biometric data during a training phase before actual playlist generation. Users wear the device during activities while it records biometric responses to different music genres, creating a personalized profile in advance. This preliminary data collection enables the system to later generate highly adaptive playlists without requiring complex real-time analysis during the actual activity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring user biometric responses during activities and using this data to refine and update personalized playlists. The biometric data serves as feedback that informs the algorithm about what music types effectively achieve desired physiological states for each individual user, allowing the system to adapt and improve playlist recommendations over time based on actual user responses.

Inventive Principle:

Principle #23Feedback

2Reliability

If the system generates customized playlists in real-time based on biometric data, then the adaptability and effectiveness are improved, but the processing time and computational resources increase

Engineering Contradiction:

Improveeffectiveness of playlist targetingVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by collecting and storing biometric data during a training phase before actual playlist generation. Users wear the device during activities while it records biometric responses to different music genres, creating a personalized profile in advance. This preliminary data collection enables the system to later generate highly adaptive playlists without requiring complex real-time analysis during the actual activity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system balances dynamics by allowing the level of customization to adjust based on computational resources and time constraints. When full real-time customization is feasible, the system generates highly personalized playlists. When resources are limited or time is constrained, it can fall back to using pre-generated playlists or less computationally intensive methods, maintaining effectiveness while adapting to available resources.

Inventive Principle:

Principle #15Dynamics

3Measurement precision

If the system collects and processes extensive biometric data for personalized playlists, then the measurement precision of user state is improved, but the data processing complexity and energy consumption increase

Engineering Contradiction:

Improveprecision of biometric state detectionVSAvoidenergy consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by selectively processing only the most relevant biometric parameters for playlist generation rather than analyzing all available sensor data. It focuses on key indicators such as heart rate and heart rate variability that are most predictive of physiological response to music, ignoring less relevant data. This approach maintains measurement precision for critical parameters while reducing overall computational burden and energy consumption.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary actions by collecting and storing biometric data during a training phase before actual playlist generation. Users wear the device during activities while it records biometric responses to different music genres, creating a personalized profile in advance. This preliminary data collection enables the system to later generate highly adaptive playlists without requiring complex real-time analysis during the actual activity.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250307310A1Biometric sensor systems and methods for auditory applications

Publication Date: 2025.10.02 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY

AI summary

A computer-implemented auditory biometric method generates a playlist file including at least one audio file. The method includes receiving user biometric data and applying user biometric data to a trained auditory biometric model to generate a playlist file. The auditory biometric model may be trained using training data including a plurality of historic records associated with a plurality of historic users. The method may include transmitting a playlist message including the playlist file to a user computer device for execution by the user computer device.