Mobile hand tracking using FPGAs for low powered augmented reality

Many augmented reality systems use general purpose computing hardware to perform tasks such as rendering computer graphics, video overlay, and vision tracking. This can result in systems being large and bulky due to the hardware complexity required and the power consumed. We have developed a hand tracking solution in a reconfigurable computer, which reduces power consumption and transfers some of the processing into specialised hardware. This paper presents a summary of the design and its implementation details.