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A jam submission

Magic SignsView game page

Use hand signs to defend your crew!
Submitted by manuelgutierrez — 19 hours, 58 minutes before the deadline
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Magic Signs's itch.io page

Results

CriteriaRankScore*Raw Score
Originality#792.2923.400
Presentation#892.0233.000
Overall#901.9782.933
Fun#961.6182.400

Ranked from 5 ratings. Score is adjusted from raw score by the median number of ratings per game in the jam.

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Comments

Submitted

Great idea and execution. It was very difficult for me to pass signs though. What packages/external libraries have you used? Some wrapper for OpenCV?

Developer

Hey Celmer, thanks for the feedback!, for this one I used Barracuda for Unity with a model created in Python

Interesting idea for a game.

Developer

Thank you very much Sinebeast

Submitted

Vey fun game, if my camera was better i could be a more neat experience. Great job :D

Developer

Thanks for your feedback Elio!, it might have been the model and not your camera, jejeje.

Developer

Magic Signs is a game that uses a Deep Learning model to classify ASL Fingerspelling hand signs.

The way I introduced the "BREAKING THE RULES" theme was by adding magic spells that take matter (the asteroid) and disappears it without any consequence. In some way, it is about breaking some preestablished physics laws or rules.

Here you take the role of a newly discovered Mage that needs to learn to see Hand Signs in their mind and then, with the appropriate one, make the hazard disappear.

To play the game, you need to make the hand sign for one of the following letters:

  • C
  • R
  • O
  • W

The difficulty is in being able to sustain the hand sign long enough to charge your magical power and vanish the asteroid before it hurts your ship and your crew.

If you have issues:

  • Try moving your hand near/around the camera along the edges and so on until you see the letter being identified.
  • Try using instead your left hand because the camera might be mirrored.
  • Try to make your hand the biggest thing you can see inside the camera space at the bottom.
  • Try no to have a light behind you.

Notes about the game:

  • The model required for the game was trained by me using multiple datasets from Kaggle.
  • Models, graphics, sounds, and all things visual were downloaded from Unity's asset store and integrated by me to make the game.