Hearing Device Automatic Learning Stability Check

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Solution Overview

Problem

Current hearing devices require manual intervention and user input to adjust settings, which can be tedious and inefficient, especially in determining when a hearing preference is final, leading to incomplete training and user dissatisfaction.

Innovation Solution

A method that automatically classifies hearing situations, adjusts signal processing parameters, and learns these settings over time, triggering automatic learning only when the situation and settings remain constant for a specified period, eliminating the need for a 'vote' button and enhancing user convenience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic learning is triggered after every parameter adjustment, then training speed increases, but false learning from transient situations occurs

Engineering Contradiction:

Improvetraining speedVSAvoidlearning accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary classification of the hearing situation before triggering learning. It checks whether the situation is stable and representative by comparing current classification with previous classifications over a defined period, preventing premature learning from transient situations

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts the learning trigger based on the stability of the hearing situation. It uses a time-based stability check that monitors whether the classified situation remains consistent over a predefined period, adapting the learning decision to the current acoustic environment's stability

Inventive Principle:

Principle #15Dynamics

2Reliability

If manual vote button operation is required to confirm hearing preferences, then learning reliability improves, but user convenience deteriorates

Engineering Contradiction:

Improvelearning reliabilityVSAvoiduser convenience

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs automatic learning without requiring explicit user confirmation. It autonomously monitors hearing situations, determines stability, and triggers learning automatically, freeing the user from tedious button operations while maintaining reliable learning through stability checks

Inventive Principle:

Principle #25Self-service

3Manufacturing precision

If hearing device parameters are individually adjusted for each situation, then hearing quality improves, but adjustment time increases

Engineering Contradiction:

Improvehearing qualityVSAvoidadjustment time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system uses feedback from automatic classification and stability monitoring to trigger parameter adjustments only when appropriate. It learns from the user's manual adjustments and automatically applies learned parameters to similar situations, reducing the need for repeated manual adjustments while maintaining high hearing quality

Inventive Principle:

Principle #23Feedback

Data Source

PatentEP1906700B1Method for time-controlled adaptation of a hearing device and corresponding hearing device

Publication Date: 2013.01.23 SIVANTOS GMBH

Figure 1~2

AI summary

The method involves classifying (S2) a hearing situation automatically, adjusting a parameter of a signal processing device of a hearing device and automatic learning (S5) of the adjusted parameter for the actual hearing situation. The steps of classifying, adjusting, and actuating the automatic learning are temporarily monitored (S4), if the classified hearing situation and the adjustment have a specified non changeable time period. An average value and a variance of a level is analyzed by the automatic classification. An independent claim is also included for a hearing device.