Summary of A Real-time Artificial Intelligence System For Learning Sign Language, by Elisa Cabana
A real-time Artificial Intelligence system for learning Sign Language
by Elisa Cabana
First submitted to arxiv on: 19 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed AI-based technology aims to bridge the communication gap between the deaf and hearing-impaired community and the hearing society. By developing an affordable, resource-efficient, and open AI system that assists in learning and using Sign Language (specifically American Sign Language, ASL), this endeavor seeks to promote inclusivity. The study enriches the existing literature on AI-based Sign Language solutions, focusing on preliminary results that demonstrate promising outcomes. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers are working on a new technology that helps people who are deaf or hard of hearing communicate with others. They’re building an artificial intelligence (AI) system that can teach people how to sign and understand American Sign Language (ASL). The goal is to make communication easier and more accessible for everyone, regardless of whether they can hear or not. |
