Learning by Imitation and Implementation Of Sign Language Gestures by a Humanoid Robot

被引：0
|
作者：
Kivrak, Hasan [1 ]
Kose, Hatice [1 ]
机构：
[1] Istanbul Tech Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源：
2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年
关键词：
learning by imitation; sign language; humanoid robots; human-robot interaction;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1993 / 1996
页数：4
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