I read six papers for my three ideas. It was interesting that many research ideas have the same goal, but the ways they approach the problem are very different. For example, in the fall detection problem, some research ideas apply deep learning on images and videos, but others work on radio frequency instead of using the images. Another example of this is improving the performance of the Optical Character Recognition for Chinese text. My initial thought about how to solve this problem is to apply image processing techniques to improve the image quality and then deep neural networks. However, there was one paper approaching this problem from a different angle. They apply statistical natural language processing models such as N-gram in order to improve the accuracy of OCR. These ideas might help me come up with an approach that is different from the one I was thinking of doing.