Hearing Measurement Apparatus Using Grouped Binary Tree Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing hearing ability measurement technologies using binary tree search methods can produce inaccurate results due to user errors in responding to measurement sounds, leading to significant deviations from the correct measurement.
Innovation Solution
A measuring apparatus and method that employs a first search processing unit to select a group based on user responses and a second search processing unit to repeat the binary tree search within the selected group until convergence, ensuring accurate determination of hearing ability by addressing user response inconsistencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a binary tree search method is used to measure hearing ability, then the processing speed is improved, but the measurement reliability deteriorates when users make mistakes in responding
Solution Approach 1:
The measurement range is divided into multiple groups, and the binary tree search is performed separately in each group. This segmentation allows the system to identify and correct user errors by comparing results across different groups, thereby maintaining high processing speed while improving measurement reliability.
Solution Approach 2:
The system performs binary tree search in multiple groups and uses the results from different groups to verify and correct user responses. This feedback mechanism enables the system to detect inconsistent responses and adjust the measurement process accordingly, ensuring reliable results even when users make mistakes.
2Adaptability or versatility
If the binary tree search is performed in the entire measurement range, then the measurement coverage is improved, but the impact of user errors on the final result increases
Solution Approach 1:
The measurement range is divided into multiple groups, allowing comprehensive coverage of the entire hearing ability spectrum while limiting the impact of user errors to specific local groups. This segmentation ensures that errors in one group do not propagate to the entire measurement range.
Solution Approach 2:
Different groups within the measurement range can be processed with tailored approaches. By performing binary tree search in localized groups and comparing results, the system maintains high measurement precision in each local region while preserving overall measurement coverage.
3Device complexity
If a single binary tree search is performed, then the device complexity is reduced, but the ability to correct user errors is lost
Solution Approach 1:
The measurement process is divided into multiple groups with separate binary tree searches. This segmentation adds minimal complexity while enabling error detection and correction through comparison of results across groups, significantly improving reliability.
Solution Approach 2:
The system changes the parameter of measurement range division, creating multiple groups with different parameter ranges. This simple parameter change enables error correction capability without requiring complex additional hardware or processing mechanisms.
Data Source
AI summary
A measuring apparatus according to the present disclosure measures the hearing ability of a user by performing a binary tree search based on responses of the user to measurement sounds. The measuring apparatus includes a first search processing unit configured to select, as a selected group, one of a plurality of groups obtained by dividing a measurement range of the hearing ability into the plurality of groups; and a second search processing unit configured to repeat the binary tree search in the selected group until the binary tree search converges, and thereby determine the hearing ability.