This app is a fork of OpenSJ
To be able to test and experiment with different ways of judging, trying to optimize and improve the original system.
The app has been modified as follows:
- SAPD and GCC parameters have been removed.
- Now each parameter (except PEN) gets up to 5 instead of 3.
- The starting value for each competitor is 5.0.
- The encoding algorithm has been modified
The reasoning behind the modifications are:
- SAPD is barely used at all, and all those techniques can be included as COM or as a combination of BAS/MOV/DIN
- GCC nowadays is just the average of BAS/MOV/DIN, it does not give useful insights on the athlete.
- Since now we have less parameters, we can increase the ticks to the remaining ones, allowing the Style Judge to have more granularity per parameter.
- Now to get a perfect 10 it is not needed to use SOG at all, reducing the weight of the SJ opinion on the score.
- The perfect 10 is impossible to get in real life, because it needs 5 DIF, being a contradiction if the athlete has 5s in the other parameters. Ideally, the perfect 10 should be achievable only using BAS/MOV/DIN/COM.
- The current maximum score is 10.5, it should be 10.
- There are negative scores. Minimum should be 0.
- Reset All not working on mobile browser
- Reset PEN on long press
- Decode screen
- Fix issues
Based off the original algorithm, it has been modified as:
One-character encoding
- Allows 26 possible combinations
- BAS/MOV/DIN with values 0, 1 or 2 except BAS = MOV = DIN = 2 -> 3^3 - 1 = 26 combinations.
Two-characters encoding
- Allows 26 * 23 = 598 combinations
- BAS/MOV/DIN with values 0, 1, 2, 3 or 4 (5^3 = 125) and COM/DIF with values 0 or 1 (2^2 = 4) -> 125 * 4 = 500 combinations.
Three-characters encoding
- Allows 26 * 26 * 23 = 15548 combinations
- BAS/MOV/DIN/COM/DIF with values 0, 1, 2, 3, 4 or 5 -> 6^5 = 7776 combinations.
This is a Next.js project bootstrapped with create-next-app.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.