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Abstract or Table of Contents
Training home robots to behave like human can help people with their daily chores and repetitive tasks. In this paper, we present Imirok, a system to remotely control robotic arms by user motion using low-cost, off-the-shelf mobile devices and webcam. The motion tracking algorithm detects user motion in real-time, without classifier training or predefined action set. Experimental results show that the system achieves 90% precision and recall rate on motion detection with blank background, and is robust under the change of cluttered background and user-to-camera distance.
Computer and Systems Architecture Commons, Data Storage Systems Commons, Digital Circuits Commons, Digital Communications and Networking Commons, Hardware Systems Commons, Other Computer Engineering Commons, Other Electrical and Computer Engineering Commons, Robotics Commons, Systems and Communications Commons, VLSI and circuits, Embedded and Hardware Systems Commons