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.
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Nguyen-Duc-Thanh, N., Stonier, D., Lee, S., Kim, DH. (2011). A New Approach for Human-Robot Interaction Using Human Body Language. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Lecture Notes in Computer Science, vol 6935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24082-9_92
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DOI: https://doi.org/10.1007/978-3-642-24082-9_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24081-2
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