3Please study the following
eye tracking https://www.youtube.com/watch?v=jBXS1fbMDjE
Neural networks:
• study tensorflow (https://www.tensorflow.org/tutorials )
• if you have a machine with GPU, installation method https://sites.google.com/site/hongslinks/tensor_windows )
• For machine translation , study and run the (https://github.com/tensorflow/nmt )
For computer vision approaches (eye tracking etc) , install the followings, choose cpp or python, python is easier
• Opencv-cpp: (https://sites.google.com/site/hongslinks/opencv-1/opencv-2)
• Opencv-python: https://sites.google.com/site/hongslinks/opencv-1/opencv,
• try aurco (pythn based is easier, see https://docs.opencv.org/trunk/d5/dae/tutorial_aruco_detection.html ) , for c++ you need to recompile opencv
o Install and run this tool and see how to apply in your project
• Optical character recognition OCR, try tesseract ( https://github.com/tesseract-ocr/ ) install the ocr tool and
o Read Ting Kwok Chan, Ying Kin Yu and Kin Hong Wong , "Text detection and marker based finger tracking in building a language assistant for wearable glasses", International Conference on Internet Studies (NETS2018), SunPort Hall Takamatsu, Japan, April 2-4, 2018. pdf pptx
• Final Reports English to Chinese translation msc report (4.2018)
o https://drive.google.com/open?id=1AKQ2370bsRG5ej37DqVLVK3HeUYBiCsL
• Final report Rnglish to Thai machine transaltion (4.2019)
o https://drive.google.com/open?id=1jp0JB2qHOAyVv8Moj7cM8pbHXnAOPhyq