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Intuitive User Interface for Enhanced Search Experience

In the early years of the Internet, due to limitations on availability and speed, it was preferred to convey information in a textual manner. Even though the Internet connections have much higher speed and can handle huge amounts of data today, the search engine interface is still relying on textual layouts to convey results. The huge amount of information available on the Internet is accessed via search engines. Search engines have essentially become a gateway to the Internet for the majority of users. Hence it is important that the search engine interface evolves to serve the growing user requirements. Presenting the results to a user's query graphically is much more informative and visually appealing to a user. Since gestures serve as a natural means of interaction for humans, an interface that can be controlled by gestures will make user interaction more engaging. This paper is aimed at developing a search engine interface based on hand gesture recognition. The system has been developed using convolutional neural networks, giving it 94% accuracy.