Abstract
In this paper, we propose a prototype of machine-to-machine interaction system using a single RGBD camera. Based on the 3D arm pointing and tracking algorithm, system enables user to select multiple objects using their two arms, without infrared remote controller and wireless transmitter. A fast gesture recognition method is used to identify the instruction assignment for the target objects. The system consists of three modules, including image capturing module, 3D arm pointing and target tracking module, and interaction module. The image capture module use the RGBD camera installed behind of user to capture the arm parameters in real-world space. The pointing and tracking algorithm is referred to the environmental information to establish the master and slave objects. For interaction module, the command gesture is determined by the gesture recognition, interacting with target devices by the decoded instruction. Finally, system generates a control signal for triggering the master object to communicate with the slave object according to the fetched the instruction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Isard M, Blake A (1998) Condensation—conditional density propagation for visual tracking. Int J Comput Vision 29(1):5–28
Shotton J, Fitzgibbon A, Cook M, Sharp T, Finocchio M, Moore R, Kipman A, Blake A (2011) Real-time human pose recognition in parts from single depth images. In: Proceeding of the computer vision and pattern recognition (CVPR), pp 1297–1304
[Online] OpenNI. http://www.openni.org
Tsai DM, Tsai YH (2002) Rotation-invariant pattern matching with color ring-projection. Pattern Recogn 35:131–141
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Shih, HC., Liu, ER. (2014). Machine-to-Machine Interaction Based on Remote 3D Arm Pointing Using Single RGBD Camera. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_126
Download citation
DOI: https://doi.org/10.1007/978-94-007-7262-5_126
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-7261-8
Online ISBN: 978-94-007-7262-5
eBook Packages: EngineeringEngineering (R0)