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Sam Sepah

2 accepted papers

2025

FSboard: Over 3 Million Characters of ASL Fingerspelling Collected via Smartphones

CVPR 2025poster

Progress in machine understanding of sign languages has been slow and hampered by limited data. In this paper, we present FSboard, an American Sign Language fingerspelling dataset situated in a mobile text entry use case, collected from 147 paid and consenting Deaf signers using Pixel 4A selfie came…

Cited by 1SourcePDFScholar
2023

PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones

NeurIPS 2023poster

PopSign is a smartphone-based bubble-shooter game that helps hearing parents of deaf infants learn sign language. To help parents practice their ability to sign, PopSign is integrating sign language recognition as part of its gameplay. For training the recognizer, we introduce the PopSign ASL v1.0 d…

Cited by 14SourcePDFScholar