An efficient interpretation model for people with hearing and speaking disabilities
Cataloged from PDF version of thesis report.
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BRAC University
2017
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| Online toegang: | http://hdl.handle.net/10361/8698 |
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10361-8698 |
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10361-86982022-01-26T10:08:25Z An efficient interpretation model for people with hearing and speaking disabilities Sayeed, M. M. Mahmud Hossain, Anisha Anjum Priya, Samrin Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University American sign language Sign language. Gesture and text conversion Gesture and image conversion Microsoft kinect sensor Cataloged from PDF version of thesis report. Includes bibliographical references (page 29-30). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Sign language is a medium of communication between individuals who have hearing and speaking deficiency. Generally they are called Deaf and Mute. To have a better, effective and simpler communication between the vocal and non-vocal society, it is very important to understand their language without difficulty. Previous research works have shown us different types of efficient methods of interaction between these two sets of people. On the down side, however, they tend to focus on one sided conversation only. Our paper focuses on two very important things; one is converting the American Sign Language (ASL) to text word-by-word and the other is audio to gesture & text conversion. We used the microphone of Microsoft Kinect Sensor device; a camera; along with common recognition algorithm to detect, recognize sign language and interpret the interactive hand shape to American Sign Language text. We decided to build efficient system that can be used as an interpreter among the hearing impaired and the normal people. Besides helping as an interpreter, this research may also open doors to numerous other applications like sign language tutorials in the future. M. M. Mahmud Sayeed Anisha Anjum Hossain Samrin Priya B. Computer Science and Engineering 2017-12-26T05:36:54Z 2017-12-26T05:36:54Z 2017 8/22/2017 Thesis ID 11201045 ID 13201067 ID 13301101 http://hdl.handle.net/10361/8698 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 31 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
American sign language Sign language. Gesture and text conversion Gesture and image conversion Microsoft kinect sensor |
| spellingShingle |
American sign language Sign language. Gesture and text conversion Gesture and image conversion Microsoft kinect sensor Sayeed, M. M. Mahmud Hossain, Anisha Anjum Priya, Samrin An efficient interpretation model for people with hearing and speaking disabilities |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Sayeed, M. M. Mahmud Hossain, Anisha Anjum Priya, Samrin |
| format |
Thesis |
| author |
Sayeed, M. M. Mahmud Hossain, Anisha Anjum Priya, Samrin |
| author_sort |
Sayeed, M. M. Mahmud |
| title |
An efficient interpretation model for people with hearing and speaking disabilities |
| title_short |
An efficient interpretation model for people with hearing and speaking disabilities |
| title_full |
An efficient interpretation model for people with hearing and speaking disabilities |
| title_fullStr |
An efficient interpretation model for people with hearing and speaking disabilities |
| title_full_unstemmed |
An efficient interpretation model for people with hearing and speaking disabilities |
| title_sort |
efficient interpretation model for people with hearing and speaking disabilities |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8698 |
| work_keys_str_mv |
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