Sign Language Processing

A field of artificial intelligence and computer science focused on developing computational systems that can understand, generate, and translate sign languages. Sign language processing encompasses sign language recognition (detecting and interpreting signs from video input), sign language translation (converting between sign language and spoken/written language), and sign language generation (producing sign language output, often via animated avatars). Unlike spoken language processing, sign language processing must handle the multi-channel, visual-spatial nature of sign languages — including hand shape, movement, location, palm orientation, facial expressions, and body posture. The field faces significant challenges including limited annotated datasets, the linguistic complexity of sign languages, and the critical need for meaningful Deaf community involvement in development to ensure technologies serve actual community needs.