Automatic recognition of Bangla sign language

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012.Cataloged from PDF version of thesis report.Includes bibliographical references (page 39).Sign Language is the mode of communication among the deaf and dumb. However, integrating them into the main stream is very difficult as the majority of the society is unaware of their language. So, to bridge the communication gap between the hearing and speech impaired and the rest in Bangladesh, we conducted a research to recognize Bangla sign language using a computer-vision based approach. To achieve our goals we used Neural Networks to train individual signs. In the future, this research, besides helping as an interpreter, can also open doors to numerous other applications like sign language tutorials or dictionaries and also help the deaf and dumb to search the web or send mails more conveniently.Najeefa Nikhat ChoudhuryGolam KayasB. Computer Science and Engineerin

SUPnP : Secure Access and Service Registration for UPnP-Enabled Internet of Things

Funding Information: This work was supported in part by the U.S. National Science Foundation under Grant CNS-1828363, and in part by the Sejong University Research Faculty Program under Grant 20212023.Peer reviewedPostprin

A Holistic Analysis of Internet of Things (IoT) Security : Principles, Practices, and New Perspectives

Peer reviewedPublisher PD