A new approach for human-robot interaction using human body language

  • Authors:
  • Nhan Nguyen-Duc-Thanh;Daniel Stonier;Sung Young Lee;Dong-Han Kim

  • Affiliations:
  • Department of Radio and Electronics Engineering, KyungHee University, Gyeonggi-do, Korea;Yujin Robot Company, Seoul, Korea;Department of Computer Engineering, KyungHee University, Gyeonggi-do, Korea;Department of Radio and Electronics Engineering, KyungHee University, Gyeonggi-do, Korea

  • Venue:
  • ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
  • Year:
  • 2011

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Abstract

In order to make the interaction between human and robot easier and more diversity, in this paper, we construct a system in which human users can use the body language to control robot doing some works. At first, the human body data is collected via 3D camera. And then, we extract the skeleton feature. Based on the human posture and Semaphore system, the international communicative method, robot can get the character in the Alphabet. Finally, robot combines the separate character into the understandable message and executes what user wants to do. In simulation, we show the results in which the iRobot can move up, down, turn left, turn right...based on the received body message.