This project advocates a Human Computer Interaction method where cursor movement can be controlled via real-time camera by making use of human hand postures recognition. This method is an alternative to current techniques, which include manually pressing buttons or using physical computer mouse. Instead, it uses camera and computer vision software to manage different mouse events and can carry out any action that a conventional computer mouse can. The Virtual Mouse color recognition application will continuously gather real-time photos, which will then go through several conversions and filters. Once everything is converted, the application will use image processing to extract coordinates of specified color position from converted frames. The process then compares current color schemes within the frames to a list of color combinations, where each combination corresponds to a particular set of mouse operations. If the current color scheme matches, the application will perform the mouse command, which will be converted into a real mouse command on the user's computer. In addition to that authors have also developed a voice assistant to improve user productivity by managing routine tasks of the user and by providing information from online sources to the user because voice assistant is effortless to use.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.