Learning by imitation and implementation of sign language gestures by a humanoid robot

Translated title of the contribution: Işaret Dili Hareketlerinin Bir Insansi Robot Tarafindan Taklit Yoluyla Öʇrenilmesi ve Gerçeklenmesi

Hasan Kivrak, Hatice Kose

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 contributionIşaret Dili Hareketlerinin Bir Insansi Robot Tarafindan Taklit Yoluyla Öʇrenilmesi ve Gerçeklenmesi
Original languageTurkish
Title of host publication2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1993-1996
Number of pages4
ISBN (Electronic)9781467373869
DOIs
Publication statusPublished - 19 Jun 2015
Externally publishedYes
Event2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey
Duration: 16 May 201519 May 2015

Publication series

Name2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/TerritoryTurkey
CityMalatya
Period16/05/1519/05/15

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