Abstract
This paper presents a method for real-time hand motion detection in two-dimensional (2-D) space. A new input device for kinetically challenged persons that uses this method is presented. The device consists of a solid-state accelerometer that senses 2-D motion, a microcontroller that samples the data in real time, and an embedded field-programmable gate array (FPGA) device that distinguishes the types of motion from programmable motion vocabularies. The system has a quadratic capability O(n <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) in detecting motions, while the hardware used has a linear-complexity O(n). The motion-detection computational model is presented, along with experimental results. The system adaptation to individual requirements and the cost versus quality tradeoff can be addressed through reconfiguration
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