Now showing items 1-4 of 4

    • Bangla sign language recognition using leap motion sensor 

      Tan, Tamkin Mahmud; Mondol, Anna Mary; Nawal, Noshin; Ahmed, Sabbir (Brac University, 2019-08)
      Sign language is used by hearing and speech impaired people to transmit their messages to other people but it is difficult for a regular people to understand this gesture based language. Instantaneous responses on sign ...
    • Computer vision-based Bengali sign language to text generation 

      Tazalli, Tonjih; Liya, Sumaya Sadbeen; Aunshu, Zarin Anan; Hossain, Magfirah; Mehjabeen, Zareen (Brac University, 2022-01)
      In the whole world, around 7% of people have hearing and speech impairment problems. They use sign language as their communication method. People from various countries use a variety of sign languages. As an example, ...
    • Tri-modal ensemble for enhanced Bangla sign language recognition 

      Shams, Khan Abrar; Reaz, Md. Rafid; Islam, Sanjida; Rafi, Mohammad Ryan Ur (Brac University, 2023-09)
      Sign language is the most common method of communication for people with disabling hearing loss. Bangladesh, where BdSL is prominently used among the disabling people, finds communicating with the general mass challenging. ...
    • Two dimensional convolutional neural network CNN approach for detection of Bangla sign language 

      Nag, Pollock; Khan, Tamim Mahmud; Biplob, Shaikh Mehedi Hasan; Barmon, Rachayita; Rahman, MD. Minhaj (Brac University, 2022-09-28)
      Sign language is known as the primary communication medium for deaf and mute people. But the lack of available resources and a steep learning curve deter the average person from learning it making communication with the ...