A New 27 Class Sign Language Dataset Collected from 173 Individuals
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Abstract (arXiv)
After the interviews, it has been comprehended that speech-impaired individuals who use sign languages have difficulty communicating with other people who do not know sign language. Due to the communication problems, the sense of independence of speech-impaired individuals could be damaged and lead them to socialize less with society. To contribute to the development of technologies, that can reduce the communication problems of speech-impaired persons, a new dataset was presented with this paper. The dataset was created by processing American Sign Language-based photographs collected from 173 volunteers, published as 27 Class Sign Language Dataset on the Kaggle Datasets web page.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 1 of its 10 references that are in the map. First posted on arXiv 8 Mar 2022.
Builds on
1 of 10 references.
References · 1
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,321
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Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.
3 papers.
- 2024A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalitiescited by 8
- 2023A Survey on Deep Multi-modal Learning for Body Language Recognition and Generationcited by 3
- 2026Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standardscited by 0
- 2026Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards28 Apr 2026
- 2024A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities10 Aug 2024
- 2023A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation17 Aug 2023