Publication2023
A Comparative Study of Deep Learning Models for American SL Recognition
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- 2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023
- Published
- 1 January 2023
- DOI
- 10.1109/icccnt56998.2023.10307372
- Scopus ID
- 85179845473
- Authors
- 5
- Open access
- No
- Citations
- 4
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Comparative study of deep learning models including ConvNeXt, RNN, and Vision Transformer for American Sign Language hand gesture recognition research.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
ASL recognition technology enables accessibility and communication support for deaf community members.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Advances in computer vision and deep neural networks for sign language processing demonstrate AI innovation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A Comparative Study of Deep Learning Models for American SL Recognition”. Kortex.