Abstract
The aim of this project is to establish the communication between the hearing impaired people and non-sign-language-speaking people easier and to raise the awareness of the community about hearing impaired people. In this study, a subset of selected primitive hand shapes of Turkish Sign Language are recognized by a system based on Leap Motion device. The system was tested with selected participants with both right and left hands, then the recognized data is also tested offline with Random Forest and Multi Layer Perceptron methods, and the results were compared. The proposed system requires less data than the machine learning methods, and its success rate is higher.
Translated title of the contribution | Turkish Sign Language recognition with Leap Motion |
---|---|
Original language | Turkish |
Title of host publication | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 589-592 |
Number of pages | 4 |
ISBN (Electronic) | 9781509016792 |
DOIs | |
Publication status | Published - 20 Jun 2016 |
Event | 24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Duration: 16 May 2016 → 19 May 2016 |
Publication series
Name | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings |
---|
Conference
Conference | 24th Signal Processing and Communication Application Conference, SIU 2016 |
---|---|
Country/Territory | Turkey |
City | Zonguldak |
Period | 16/05/16 → 19/05/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.