Now showing items 1-4 of 4

    • Bangla sign language interpretation using image processing 

      Arko, Fahmid Nasif; Tabassum, Nujhat; Trisha, Taposhi Rabeya; Ahmed, Fariha (BRAC University, 2017-04-18)
      Instant feedback on sign language can greatly improve sign language interpretation. In this project we plan to use efficient methods to detect the hand correctly using skin detection algorithm and removing all noise using ...
    • Basic bangla sign language recognition and sentence building using Microsoft Kinect 

      Ahmed, Khan Rafin; Mumu, Sabrin Momotaz; Shuvra, Fatema Tuz Zohora (BRAC University, 2017)
      How do a deaf of mute people communicate with each other? Or, even bigger question, how do they make other people understand their messages? The answer is, Sign Language. It is not that easy, most people do not know sign ...
    • Gesture based implementation on neural network: Bengali sign language to text conversion 

      Hasan, S.M. Farzana; Rahman, Tanjina Mehnaz; Chowdhury, Anika Raisa; Biswas, Akash (BRAC Univeristy, 2017-08)
      This paper presents a novel system that converts Bengali Sign language to text using an optimum system comprising of artificial neural networksand support vector model. Bengali Sign Language, has very few research papers ...
    • Sign language conversion and training by machine learning with an IOT approach 

      Nazib, Rezoan Ahmed; Ahmed, Tanvir; Siddique, Niloy; Tusher, Jahid Hasan (BRAC Univeristy, 2017-08-21)
      For the people, who are living without sound due to disabilities, sign language can be a handy tool to make their life easy and comfortable. Sign language is actually a medium of communication for the people who are either ...