Improved Multimodal Integration with Attention for Live Nepali Sign Language Interpretation

This work introduces a framework for attention-based multimodal integration in real-time Nepali Sign Language (NSL) interpretation by combining hand landmarks, face details, and pose information. I have fine-tuned on frame series from five NSL gestures; as a result, the system attains 97.39% validation precision and 31.18 FPS on a GPU. Experiments reveal 83.48% precision in five-epoch scratch training and 46.96% absent ImageNet initialization. The codebase is shared openly to promote NSL inclusivity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-22
DOI
https://doi.org/10.5281/zenodo.17418646
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Improved Multimodal Integration with Attention for Live Nepali Sign Language Interpretation

Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

Improved Multimodal Integration with Attention for Live Nepali Sign Language Interpretation

article en

Abstract

This work introduces a framework for attention-based multimodal integration in real-time Nepali Sign Language (NSL) interpretation by combining hand landmarks, face details, and pose information. I have fine-tuned on frame series from five NSL gestures; as a result, the system attains 97.39% validation precision and 31.18 FPS on a GPU. Experiments reveal 83.48% precision in five-epoch scratch training and 46.96% absent ImageNet initialization. The codebase is shared openly to promote NSL inclusivity.

Zenodo (CERN European Organization for Nuclear Research)
Nepal Academy of Science and Technology (NP)
Quality Education
Openalex Percentile: Top 44%
Hand Gesture Recognition Systems
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Improved Multimodal Integration with Attention for Live Nepali Sign Language Interpretation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS