BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network
Abu Saleh Musa Miah; Jungpil Shin; Md. Al Mehedi Hasan; Md Abdur Rahim · 2022 · Applied Sciences
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Sign language recognition is one of the most challenging applications in machine learning and human-computer interaction. Many researchers have developed classification models for different sign languages such as English, Arabic, Japanese, and Bengali; however, no significant research has been done on the general-shape performance for different datasets. Most research work has achieved satisfactory performance with a small dataset. These models may fail to replicate the same performance for evaluating different and larger datasets. In this context, this paper proposes a novel method for recogn
Abstract by Abu Saleh Musa Miah; Jungpil Shin; Md. Al Mehedi Hasan; Md Abdur Rahim, Applied Sciences (2022) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/app12083933