[BIP Draft] Emoji Seed Mnemonics for Deterministic Keys

This innovative approach proposes a deterministic mapping between the standard BIP-39 English words, which encompasses a list of 2048 words, and unique sets of emojis, also numbering 2048. The primary motivation behind this suggestion is to enhance the memorability of seed mnemonics while also improving their usability across different languages. By utilizing emojis, the proposal aims to offer a language-independent, visually intuitive mnemonic format that could significantly benefit users by making the process of remembering and using deterministic keys easier and more accessible. Another key aspect of this proposal is its design for backward compatibility. The emoji mnemonics are intended to map directly onto the existing BIP-39 English wordlist without necessitating any changes to the fundamental aspects such as entropy, checksum, or the method of seed derivation. Essentially, this creates an additional, optional layer of mapping that can be utilized by new applications, without disrupting or altering the established BIP-39 framework. The scope of this proposal is carefully outlined to clarify that it does not propose any alterations to the BIP-39 wordlist itself. Instead, it focuses solely on adding a new, innovative layer that provides a standardized reference for emoji mappings. This could potentially open up avenues for the development of new applications and reminder devices that leverage this visual mnemonic system. For those interested in exploring this proposal further, the full text, along with detailed logic, algorithmic explanations, and reference files, have been made available online. Two key resources include the proposal's homepage at https://emojiseed.comreadme and its GitHub repository at https://github.com/emojiseed/bip-emojiseed, where feedback from the community is both sought and appreciated. This initiative reflects a creative attempt to bridge linguistic barriers in the cryptographic domain, emphasizing the potential for emojis to play a significant role in enhancing user experience within digital asset management.