Develop a Parallel Processing System to Recognize the Deaf and Mute Gestures and Apply it based on FPGA
published by Aِl-Baath University
in 2016
in
and research's language is
العربية
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Abstract in English
In this paper, we processed an array which represents the
human hand image to get the characteristics of this image. So,
we used FPGA technique, and the processing operation is
partitioned into three threads which is carried out in parallel.
Each thread is carried out using the pipeline technique by
partitioning thread into four segments. After that, we evaluated
the speedup that we get in result of using the pipeline technique
and the parallel threads. So, we have the possibility to design an
embedded system integrated into chip (SoC), and using the
mobile phones as integral devices support the software and
hardware resources.
References used
Oi Mean Foong, Tan Jung Low, Satrio Wibowo, “Hand Gesture Recognition: Sign to Voice System (S2V)”, International Journal of Electrical, Computer, and Systems Engineering 3:4, 2009
Tin Hninn Maung, “Real-Time Hand Tracking and Gesture Recognition System Using Neural Networks”, World Academy of Science, Engineering and Technology 50, 2009
Ming-Hsuan Yang, Narendra Ahuja, Mark Tabb, “Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition”, IEEE transactions on pattern analysis and machine intelligence, vol. 24, no. 8, august 2002