| dc.contributor.author | Umar Mukhtar | |
| dc.contributor.author | Hamza Riaz | |
| dc.contributor.author | Bilawal Hussain | |
| dc.date.accessioned | 2017-05-22T05:32:56Z | |
| dc.date.available | 2017-05-22T05:32:56Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/858 | |
| dc.description | Supervised by Mr. Ammar Ajmal | en_US |
| dc.description.abstract | Language has provided humans a mean to communicate with each other. Humans communicate with each other through a language they understand but some humans are not blessed with this. Some humans are not normal enough to communicate with each other so easily like all humans do. The project focuses on this problem and provides a platform where these people can communicate their message easily and efficiently. For these people which you can regard as deaf peoples, they use a particular language called as Sign Language to talk or to convey their meaning. Our project focuses on determining the sign language and converting it into a meaning so that these people can easily communicate with the normal ones. The project uses Microsoft Kinect V2 for the detection of the Sign Language, interpret the meaning and display it on the screen so that the deaf people can be catered easily and communicate with the normal ones. The project also interprets the voice and displays the voice as a text on the screen. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Computer Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | BCE;P-0122 | |
| dc.subject | Computer Engineering | en_US |
| dc.title | Sign Language Translator (P-0122) (MFN 5490) | en_US |
| dc.type | Project Report | en_US |