Abstract
This study aims to spread the use of humanoid robots in teaching sign language to hearing impaired people. To track the sign language gestures, Microsoft Kinect that has a ability to record the structure of the human skeletal joints position information is used. To implement and learn sign language gestures on humanoid robot from human motion data, the probabilistic and mathematical-based machine learning algorithms are studied.
Translated title of the contribution | Learning by imitation and implementation of sign language gestures by a humanoid robot |
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Original language | Turkish |
Title of host publication | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1993-1996 |
Number of pages | 4 |
ISBN (Electronic) | 9781467373869 |
DOIs | |
Publication status | Published - 19 Jun 2015 |
Event | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015 |
Publication series
Name | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
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Conference
Conference | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
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Country/Territory | Turkey |
City | Malatya |
Period | 16/05/15 → 19/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.