A comparative analysis between single &amp; dual-handed Bangladeshi Sign Language detection using CNN based approach

Surjo, Gourob Saha; Ghosh, Biplob Kumer; Alam, Mohammad Jahangir; Mahamudullah,; Razib, Md; Bilgaiyan, Saurabh

doi:10.1109/iccci56745.2023.10128583

2023 International Conference on Computer Communication and Informatics (ICCCI) 2023

DOI: 10.1109/iccci56745.2023.10128583

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A comparative analysis between single & dual-handed Bangladeshi Sign Language detection using CNN based approach

Gourob Saha Surjo,

Biplob Kumer Ghosh,

Mohammad Jahangir Alam

et al.

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2024

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Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People

Raihan,

Labib,

Jim

et al. 2024

Sensors

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Sign language is undoubtedly a common way of communication among deaf and non-verbal people. But it is not common among hearing people to use sign language to express feelings or share information in everyday life. Therefore, a significant communication gap exists between deaf and hearing individuals, despite both groups experiencing similar emotions and sentiments. In this paper, we developed a convolutional neural network–squeeze excitation network to predict the sign language signs and developed a smartphone application to provide access to the ML model to use it. The SE block provides attention to the channel of the image, thus improving the performance of the model. On the other hand, the smartphone application brings the ML model close to people so that everyone can benefit from it. In addition, we used the Shapley additive explanation to interpret the black box nature of the ML model and understand the models working from within. Using our ML model, we achieved an accuracy of 99.86% on the KU-BdSL dataset. The SHAP analysis shows that the model primarily relies on hand-related visual cues to predict sign language signs, aligning with human communication patterns.

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Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People

Raihan,

Labib,

Jim

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

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A comparative analysis between single & dual-handed Bangladeshi Sign Language detection using CNN based approach

Cited by 1 publication

References 8 publications

Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People

Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People

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