As I mentioned in another thread, I’ve been thinking about developing a phonetic category-based system as an extension of the Ben system. Each image would correspond to a 4-digit sequence for decimals and some would also include a 12-digit sequence for binary. As the title says, I’m hoping to get some help brainstorming the categories.
1600 of the images are directly carried over from the Ben system, so this leaves 8400 images. These 8400 images are then grouped in categories, each of which consists of 100 images. The structure for the naming is [category] + [individual image name], which is bisyllabic and in the form [consonant][vowel][consonant][vowel].
Here’s what I have so far:
n[vowel]: all empty
mo: marine life?
m[long vowel]: all empty
r[short vowel]: all empty
rA: racing (cars, bikes, etc.)
la: lab supplies
lI: lights (related displays, games, etc.)
lO: Lord of the Rings
[j/g]i: gym equipment
ke: chemistry (redundant w/lab supplies)
ki: kitchen appliances
ku: kung fu
[f/v]a: Family Guy?
[f/v]i: video games
[f/v]o: fossils (dinosaurs, alive)
[f/v]A: fangs (fictional monsters, predatory animals, etc.)
[f/v]I: flying (various aircraft)
[f/v]O: foes (various enemies, villains, etc.)
ba: battle (war theme)
bi: building (construction)
bA: babies (baby theme)
This is just from my initial brainstorming. Some of my ideas were really bad and will certainly be replaced with something else. All suggestions are welcome. I’m looking for an overall composition of approximately 40% inanimate objects and 60% living objects (people, dinosaurs, cartoons, etc.). As you can see, it’s best to have the category align with the first syllable, but this isn’t essential. It’s more important to have categories that lend themselves to producing 100 unique images. Anyway, I’m really busy with school, but I’ll try to update this list to incorporate suggestions when possible.
For more details on how the system works, you can see my posts here.
I appreciate the help!
edit I couldn’t get the tags to work.