Fingerspelling Detection in American Sign Language
Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu
Abstract
Fingerspelling detection and recognition in video of American Sign Language. The goal of detection is to find intervals corresponding to fingerspelling (here indicated by open/close parentheses), and the goal of recognition is to transcribe each of those intervals into letter sequences. Our focus in this paper is on detection that enables accurate recognition. In this example (with downsampled frames), the fingerspelled words are PIRATES and PATRICK, shown along with their canonical handshapes aligned roughly with the most-canonical corresponding frames. Non-fingerspelled signs are labeled with their glosses. The English translation is "Moving furtively, pirates steal the boy Patrick.
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Cited by top-tier papers5
- Open-Domain Sign Language Translation Learned from Online VideoBowen Shi, Diane Brentari, Gregory Shakhnarovich, Karen LivescuEMNLP 2022 · 39 citations
- Searching for fingerspelled content in American Sign LanguageBowen Shi, Diane Brentari, Greg Shakhnarovich, Karen LivescuACL 2022 · 8 citations
- CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign LanguageRui Zhao, Xuewen Zhong, Xiaoyun Zheng, Jinsong Su et al.ACL 2026
- OpenFS: Multi-Hand-Capable Fingerspelling Recognition with Implicit Signing-Hand Detection and Frame-Wise Letter-Conditioned SynthesisJunuk Cha, Jihyeon Kim, Han-Mu ParkCVPR 2026
- BANZ-FS: BANZSL Fingerspelling DatasetXin Shen, Yan Ke, Xinyu Wang, Xin YuICLR 2026
Builds on5
- BMN: Boundary-Matching Network for Temporal Action Proposal GenerationTianwei Lin, Xiao Liu, Xin Li, Errui Ding et al.ICCV 2019 · 709 citations
- Spatial-Temporal Multi-Cue Network for Continuous Sign Language RecognitionHao Zhou, Wengang Zhou, Yun Zhou, Houqiang LiAAAI 2020 · 249 citations
- Fingerspelling Recognition in the Wild With Iterative Visual AttentionBowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari et al.ICCV 2019 · 76 citations
- Sign Language Transformers: Joint End-to-End Sign Language Recognition and TranslationNecati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard BowdenCVPR 2020
- Transferring Cross-Domain Knowledge for Video Sign Language RecognitionDongxu Li, Xin Yu, Chenchen Xu, Lars Petersson et al.CVPR 2020
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