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4 results for “Bangla Sign Language”
SignBD-Word: Video-Based Bangla Word-Level Sign Language Dataset
<p>Bangla sign language (BdSL) is a complete and independent natural sign language with its own linguistic characteristics. While there exists video datasets for well-known sign languages, there is currently no available dataset for word-level BdSL. In this study, we present a video-based word-level dataset for Bangla sign language, called SignBD-Word, consisting of 6000 sign videos representing 200 unique words. The dataset includes full and upper-body views of the signers, along with 2D body pose information. This dataset can also be used as a benchmark for testing sign video classification algorithms.<br><br>Official Train Test Spllit (for both RGB and bodypose) can be found from the following link: <br>https://sites.google.com/view/signbd-word/dataset<br><br>This dataset is part of the following paper:<br>A. Sams, A. H. Akash and S. M. M. Rahman, "SignBD-Word: Video-Based Bangla Word-Level Sign Language and Pose Translation," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10306914.<br><br>Download the corresponding paper from this link:<br>https://asnsams.github.io/Publications.html</p>
BdSL47: A complete dataset of sign alphabet and digits of Bangla Sign Language (BdSL) using depth information via MediaPipe
<p><strong>BdSL47</strong> is the first open-access complete dataset in Bangla Sign Language that contains hand signs from both 10 sign digits (from sign ০ to sign ৯) and 37 sign alphabet (from sign অ to sign ँ).</p> <p>Dataset summary :</p> <ul> <li>100 RGB images per sign (total 47 signs) from each of 10 users</li> <li>Total input images : 100×47×10 = 47000</li> <li>Input images are processed via MediaPipe, which provided <ul> <li>an output image with hand key-points being detected</li> <li>3D coordinate values of 21 predefined key-points</li> <li>Total 63 coordinate values for each sample</li> </ul> </li> <li>The values are stored in csv files</li> <li>1 CSV file contains values from 100 samples of 1 sign from 1 user</li> <li>Total CSV files : 47×10 = 470</li> </ul> <p>The dataset has been made public for further research purposes. It is also available upon request <a href="https://drive.google.com/drive/u/8/folders/1wmJUlgWUrWNnOvzuL8Ci82Hm3zUx4wS-" rel="noopener">here</a>.</p>
BdSL47: A complete dataset of sign alphabet and digits of Bangla Sign Language (BdSL) using depth information via MediaPipe
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A Computer Graphics Approach to Creating New Method for Generating 3D Gesture Animations in Bangla Sign Language via HamNoSys to SiGML Conversion
<p>To prepare the system, we employed 94 classes of data. In this dataset, there are 13 Bangla numerical data classes, 36 Bangla alphabet data classes, and 41 Bangla word data classes. Every class of data contains different data types like Hand Shape, Hand Orientation, Hand Movement, Notations, etc. These data were created in SiGML tags. Every class of data is unique and different from others. The system was prepared using BdSL. And BdSL is an uncommon and unique sign language, among others. That's why every class of data is unique and created by us. We search HamNoSys notations for Bangla alphabets, words, and numbers in English HamNoSys datasets (almost 6,000 data). However, we find only 20% of the data, which is quite similar to BdSL. We create 80% HamNoSys notation for BdSL and we modify the matching 20% notations. Then, we converted them into SiGML and made the data classes. This was a big challenge in our research. </p>
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