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1. 1. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Ricardo Núñez-Prieto; [2019]
   Keywords : Artificial Intelligence; Computer Vision; Machine Learning; Convolutional Neural Networks; FPGA; Sign Language Recognition; Technology and Engineering;

   Abstract : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. READ MORE