Abstract
The evolution of input device technologies led to identification of the natural user interface (NUI) as the clear evolution of the human-machine interaction, following the shift from command-line interfaces (CLI) to graphical user interfaces (GUI). The design of user interfaces requires a careful mapping of complex user “actions” in order to make the human-computer interaction (HCI) more intuitive, usable, and receptive to the user’s needs: in other words, more user-friendly and, why not, fun. NUIs constitute a direct expression of mental concepts and the naturalness and variety of gestures, compared with traditional interaction paradigms, can offer unique opportunities also for new and attracting forms of human-machine interaction. In this paper, a kinect-based NUI is presented; in particular, the proposed NUI is used to control the Ar.Drone quadrotor.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ar.Drone, http://ardrone.parrot.com
Bhuiyan, M.A., Ampornaramveth, V., Muto, S., Ueno, H.: Realtime vision based Gesture Recognition for Human Robot Interaction. In: The IEEE International Conference on Robotics and Biometrics, pp. 413–418 (2004)
Bolt, R.A.: Put-that-there: Voice and gesture at the graphics interface. ACM Comput. Graphics 14(3), 262–270 (1980)
Bugeau, A., Pérez, P.: Detection and segmentation of moving objects in complex scenes. Computer Vision and Image Understanding 113(4), 459–476 (2009)
Chao, N., Meng, M.Q., Xiaoping Liu, P., Wmg, X.: Visual gesutre recognition for human-machine interface of robot teleoperation. In: The 2003 IEEEIRSJ Intl. Conference on Intelligent Robots and Systems, pp. 1560–1565 (2003)
De Amici, S., Sanna, A., Lamberti, F., Pralio, B.: A Wii Remote-based infrared-optical tracking system. Entertainment Computing 1(3-4), 119–124 (2010)
Koceski, S., Koceska, N.: Vision-based gesture recognition for human-computer interaction and mobile robot’s freight ramp control. In: The 32nd International Conference on Information Technology Interfaces, pp. 289–294 (2010)
Kofman, J., Wu, X., Luu, T.J., Verma, S.: Teleoperation of a robot manipulator using a vision-based human-robot interface. IEEE Transactions on Industrial Electronics 52(5), 1206–1219 (2005)
Malassiotis, S., Aifanti, N., Strintzis, M.G.: A gesture recognition system using 3D data. In: The 1st International Symposium on 3D Data Processing Visualization and Transmission, pp. 190–193 (2002)
Mariappan, R.: Video Gesture Recognition System. In: The International Conference on Conference on Computational Intelligence and Multimedia Applications, pp. 519–521 (2007)
Microsoft Kinect, http://www.xbox.com/en-US/kinect/
OpenKinect, http://openkinect.org/wiki/Main_Page
OpenNI, http://www.openni.org/
Pavlovic, V.I., Sharma, R., Huang, T.S.: Gestural interface to a visual computing environment for molecular biologists. In: 2nd Intern. Conf. on Automatic Face and Gesture Recognition, pp. 52–73. IEEE Computer Society, Los Alamitos (1996)
Pavlovic, V.I., Sharma, R., Huang, T.S.: Visual interpretation of hand gestures for human-computer interaction: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 677–695 (1997)
Popa, D., Simion, G., Gui, V., Otesteanu, M.: Real time trajectory based hand gesture recognition. WSEAS Transactions on Information Science and Applications 5(4), 532–546 (2008)
Ribeiro, H.L., Gonzaga, A.: Hand Image Segmentation in Video Sequence by GMM: a comparative analysis. In: The 19th Brazilian Symposium on Computer Graphics and Image Processing, pp. 357–364 (2006)
Rao, V.S., Mahanta, C.: Gesture Based Robot Control. In: The 4th International Conference on Intelligent Sensing and Information Processing, pp. 145–148 (2006)
Selker, T.: Touching the future. Commun. ACM 51, 14–16 (2008)
Soshi Iba, C.J.P., Michael Vande Weghe, J., Khosla, P.K.: An Architecture for Gesture-based Control of Mobile Robots. In: The IEEEIRSJ International Conference on Intelligent Robots and Systems, vol. 2, pp. 851–857 (1999)
Stergiopoulou, E., Papamarkos, N.: A New Technique for Hand Gesture Recognition. In: The IEEE International Conference on Image Processing, pp. 2657–2660 (2006)
Sturman, D.J., Zetler, D.: A survey of glove based input. IEEE Computer Graphics and Applications 14, 30–39 (1994)
Controlling the AR Drone with Microsoft Surface, http://blogs.msdn.com/b/surface/archive/2011/01/27/controlling-the-ar-drone-with-surface.aspx
Wachs, J.P., Stern, H., Eden, Y.: Parameter search for an image processing-Fuzzy c-Means hand gesture recognition system. In: The IEEE Int. Conf. on Image Processing, pp. 341–344 (2003)
Wachs, J.P., Stern, H., Edan, Y.: Cluster Labeling and Parameter Estimation for the Automated setup of a Hand gesture Recognition System. IEEE Transactions Systems and Humans 35(6), 932–944 (2005)
Controlling the AR Drone with Nintendo Wiimote, http://www.youtube.com/watch?v=zJ50H-_431w&feature=player_embedded
Wright, A.: Making sense of sensors. Commun. ACM 52, 14–15 (2009)
The Virtual-Reality Peripheral Network, http://www.cs.unc.edu/Research/vrpn/
Controlling the AR Drone with Microsoft Kinect, http://www.youtube.com/watch?v=jDJpb4xXAJM
Hand tracking to control the AR Drone with Microsoft Kinect, http://dronehacks.com/2010/12/21/controlling-the-ar-drone-with-a-kinect-controller/
Hand tracking to control the AR Drone with Microsoft Kinect, http://www.youtube.com/watch?v=mREorv0hbY8
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Sanna, A., Lamberti, F., Paravati, G., Henao Ramirez, E.A., Manuri, F. (2012). A Kinect-Based Natural Interface for Quadrotor Control. In: Camurri, A., Costa, C. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30214-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-30214-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30213-8
Online ISBN: 978-3-642-30214-5
eBook Packages: Computer ScienceComputer Science (R0)