Performer matching system and program
The performer matching system objectively evaluates skill levels and facilitates real-time remote performances by registering performance data and scheduling, addressing the limitations of conventional systems in verifying skill levels and enabling immediate collaborations.
JP2026136666APending Publication Date: 2026-08-26KATAYANAGI INST +1
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Patent Information
- Application Number
- JP2025022310
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-02-14
- Publication Date
- 2026-08-26
AI Technical Summary
Technical Problem
Conventional performer matching systems fail to verify the actual skill level of potential co-performers and do not facilitate real-time remote co-performance.
Method used
A performer matching system and program that objectively evaluates performer skill levels by registering performance data, determining performance levels, and enabling real-time remote performances through a network-connected server, with features like performance scheduling and avatar performances.
Benefits of technology
Enables real-time remote performances with suitable co-performers based on objective skill evaluations, allowing musicians to perform with optimal collaborators whenever desired, even adjusting schedules for non-real-time performances.
✦ Generated by Eureka AI based on patent content.
Abstract
We provide a performer matching system and program that enables real-time remote performance after objectively evaluating the skills of fellow performers. [Solution] The performer matching server 1 registers conditions such as the genre of performance and the part of the instrument to be played, has the performer play practice pieces extracted from the genre and part, or selected pieces chosen by the performer, and collects the results from the user terminal 2. It also determines the performance level from the performance record during online performances and registers the performer's evaluation in the storage unit 12. The system searches for performer registration data to find collaborators, registration data of other performers (collaborators) that match the performance level, searches for collaborators by performance level, starts online performance if the performer and collaborators are able to perform in real time, and adjusts the schedule for online performance if they are not able to perform in real time.
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