Comparative Study of Hand Gesture Recognition Techniques for Virtual Mouse Application
Saurabh Kumar, Prasun Tripathi
Desktop Application, Hand gesture recognition, Voice Assistant, cv2, Speech-Recognition.
This paper presents the development of a desktop virtual mouse application that allows users to control their mouse movements and clicks using hand gestures and voice commands. The application takes input directly from a live camera frame, and it uses various Python libraries like cv2, pyautogui, tkinter, and speech recognition for its functionality. The proposed virtual mouse application has been developed to overcome the limitations of other virtual mouse programs, which require a high-end system to run smoothly. This application is designed to work seamlessly on low-end systems. Moreover, the application is easy to install, as there is no need to run the file in an integrated development environment (IDE) to show the result. One of the unique features of this application is its voice assistant capability. Users can perform specific actions like opening files, closing applications, and switching windows using voice commands. The application is trained to recognize different voices, and it can respond to a range of commands.
Article Details
Unique Paper ID: 160214

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 1240 - 1242
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