Title :
Learning by imitation and implementation of sign language gestures by a humanoid robot
Author :
Kivrak, Hasan ; Kose, Hatice
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Istanbul Tek. Univ., Istanbul, Turkey
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.
Keywords :
computer aided instruction; control engineering education; handicapped aids; humanoid robots; learning (artificial intelligence); probability; sign language recognition; Microsoft Kinect; hearing impaired people; human motion data; human skeletal joints position information; humanoid robot; learning by imitation; mathematical-based machine learning algorithm; probabilistic method; sign language gestures; sign language teaching; Assistive technology; Auditory system; Education; Gesture recognition; Humanoid robots; Robot sensing systems; human-robot interaction; humanoid robots; learning by imitation; sign language;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130255
