Abstract
Multi-pointing has become an important research interest, and is used in many computer applications to allow users to interact effectively with a program. Multi-pointing is used as an input method, and can also be fun and very user-friendly. However, in order to use the method, a complex and expensive hardware configuration is required. This paper presents a new and low cost method of multi-pointing based on a simple hardware configuration. Our method uses dual hand recognition, a table lamp, and a single CMOS camera. The table lamp provides a steady illumination environment for image processing, and the CMOS camera is mounted to maintain good stability. A single camera is used for dual hand recognition to achieve multi-pointing. Therefore, image processing does not require intensive computing which allows us to use a stand-alone system (including a 32 bit RISK processor). The results of the proposed method show that effective control navigation of applications such as Google Earth or Google Maps can be achieved.
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Zhai, S.: User performance in Relation to 3D Input Device Design. Computer Graphics 32(4), 50–54 (1998)
Zhai, S., Kandogan, E., Barton, A.S., Selker, T.: Design and Experimentation of a Bimanual 3D Navigation Interface. Journal of Visual Languages and Computing, 3–17 (October 1999)
Ku, J.Y., Hong, J.P.: A Study on the Controlling Method for Remote Rehabilitation Assisting Mobile Robot Using Force Reflection Joystick. Journal of the Institute of Electronics Engineers of Korea 40, 26–34 (2003)
Lapointe, J.F., Vinson, N.G.: Effects of joystick mapping and field-of-view on human performance in virtual walkthroughs. In: Proceeding of 1st International Symposium on 3D Data Processing Visualization and Transmission Padova, Italia, June 18-21 (2002)
Sigal, L., Sclaroff, S., Athitsos, V.: Skin Color-Based Video Segmentation under Time-Varying Illumination. IEEE Trans. Pattern Analysis and Machine Intelligence, 862–877 (2004)
Dadgostar, F., Barczak, A.L.C., Sarrafzadeh, A.: A Color Hand Gesture Database for Evaluating and Improving Algorithms on Hand Gesture and Posture Recognition. Research Letters in the Information and Mathematical Sciences 7, 127–134 (2005)
Pham, T.C., Pham, X.D., Nguyen, D.D., Jin, S.H., Jeon, J.W.: Dual Hand Extraction Using Skin Color and Stereo Information. In: IEEE International Conference on Robotics and Biomimetics, Bangkok, Thailand, February 21-26 (accepted, 2009)
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© 2009 Springer-Verlag Berlin Heidelberg
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Song, T., Pham, T.C., Jung, S., Park, J., Kwon, K., Jeon, J. (2009). Multi-pointing Method Using a Desk Lamp and Single Camera for Effective Human-Computer Interaction. In: Jacko, J.A. (eds) Human-Computer Interaction. Ambient, Ubiquitous and Intelligent Interaction. HCI 2009. Lecture Notes in Computer Science, vol 5612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02580-8_57
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DOI: https://doi.org/10.1007/978-3-642-02580-8_57
Publisher Name: Springer, Berlin, Heidelberg
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