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Found 4 papers, 1 papers with code
Sign Languague Recognition without frame-sequencing constraints: A proof of concept on the Argentinian Sign Language
The model employs a bag-of-words approach in all classification steps, to explore the hypothesis that ordering is not essential for recognition.
LSA64: An Argentinian Sign Language Dataset
The dataset, called LSA64, contains 3200 videos of 64 different LSA signs recorded by 10 subjects, and is a first step towards building a comprehensive research-level dataset of Argentinian signs, specifically tailored to sign language recognition or other machine learning tasks.
LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation
Sign language translation (SLT) is an active field of study that encompasses human-computer interaction, computer vision, natural language processing and machine learning.
Ranked #1 on
Sign Language Translation
on LSA-T
Sign Language Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language
The model employs a bag-of-words approach in all classification steps, to explore the hypothesis that ordering is not essential for recognition.
Ranked #2 on
Sign Language Recognition
on LSA64
