Recognising BSL Fingerspelling in Continuous Signing Sequences
Fingerspelling is a critical component of British Sign Language (BSL), used to spell proper names, technical terms, and words that lack established lexical signs. Fingerspelling recognition is challenging due to the rapid pace of signing and common letter omissions by native signers, while existing BSL fingerspelling datasets are either small in scale or temporally and letter-wise inaccurate. In this work, we introduce a new large-scale BSL fingerspelling dataset, FS23K, constructed using an iterative annotation framework. In addition, we propose a fingerspelling recognition model that explicitly accounts for bi-manual interactions and mouthing cues. As a result, with refined annotations,...
| Authors | Alyssa Chan, Taein Kwon, Andrew Zisserman |
|---|---|
| Primary category | cs.CV |
| Published | 19 March 2026 |
| Last updated at source | 25 August 2026 |
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