Develop a Parallel Processing System to Recognize the Deaf and Mute Gestures and Apply it based on FPGA


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

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