Deep Learning Approach for Keypoint-Based Bangla Word Sign Detection for Videos

Simple item page
creativework.keywordsDeep Learning, sign language, Bangla-speaking
dc.contributor.advisorAtiqur Rahman
dc.contributor.authorArnop Singh Durjoy
dc.contributor.authorMD. Shahidul Islam
dc.contributor.authorMahidul Islam Bhuiyan
dc.contributor.id2011061042
dc.contributor.id2011703642
dc.contributor.id2011111642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-04-17
dc.date.accessioned2025-04-17T08:24:37Z
dc.date.available2025-04-17T08:24:37Z
dc.date.issued2023
dc.description.abstractThis research delves into the realm of Bangla sign language recognition, focusing on developing a robust system for interpreting and analyzing gestures depicted in videos. Employing a keypoint based approach and leveraging deep learning technology, specifically a two-layer LSTM architecture, our methodology aims to interpret Bangla word signs accurately. The project's foundation lies in a meticulously curated custom dataset featuring 51 unique signs captured by two proficient signers, ensuring comprehensive coverage of articulation, speed, and style variations. Our system's tailored approach acknowledges a bridge to communication gaps and enhances accessibility for the Bangla-speaking Deaf community. Beyond technical advancements, this research aims to elevate societal awareness and foster employment opportunities for the Deaf population, ultimately contributing to a more inclusive world. The outcomes of this project have the potential to not only revolutionize Bangla sign language recognition but also pave the way for broader applications in accessibility and advancements in deep learning technology for diverse sign languages worldwide.
dc.description.degreeUndergraduate
dc.identifier.cdTo be determined
dc.identifier.print-thesis600000598
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1121
dc.language.isoen
dc.publisherNorth South University
dc.rights©NSU Library
dc.titleDeep Learning Approach for Keypoint-Based Bangla Word Sign Detection for Videos
dc.typeThesis
oaire.citation.endPage42
oaire.citation.startPage1
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
600000598.Abstract.pdf
Size:
135.86 KB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
600000598.pdf
Size:
756.31 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.93 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Theses - Undergraduate