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A New Hand Gesture Recognition Approach for Robotic Assistants Based on Mobile Devices

J. S. Ochoa-Zambrano 1, V. E. Robles-Bykbaev 1, T. E. Flores-Tapia 1, and Jan Doutreloigne 2
1. GI-IATA, CIDII, Universidad Politécnica Salesiana, Cuenca, Ecuador
2. Center for Microsystems Technology, Ghent University- IMEC, Ghent, Belgium
Abstract—Nowadays, the mobile devices (smartphones and tablets) are developed with important improvements in processing and memory capacity as well as camera resolution, massive storage or wireless connectivity. On those grounds, in developing countries these devices constitute an important alternative to develop assistive technologies to provide support in several areas as education, health care, and the elderly. Given that, in this paper we propose a new approach to handle the gesture recognition in robotic assistants that use a mobile device as main processor. In order to perform the recognition our approach uses a robust descriptor based on polygonal approximation, convex hull techniques, and the first seven HU moments. The results show 93% precision in real scenarios with different light conditions. 
 
Index Terms—mobile device, robotic assistant, computer vision, hand gesture recognition, auto-adjust thresholding

Cite: J. S. Ochoa-Zambrano, V. E. Robles-Bykbaev, T. E. Flores-Tapia, and Jan Doutreloigne, "A New Hand Gesture Recognition Approach for Robotic Assistants Based on Mobile Devices," International Journal of Electronics and Electrical Engineering, Vol. 4, No. 1, pp. 96-99, February 2016. doi: 10.18178/ijeee.4.1.96-99
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