AI Virtual Mouse in Python
Keywords:
Accessibility solutions, Adaptive technology, Assistive devices, Contouring, Convolutional Neural Networks (CNNs), Deep learning, Dynamic hand gestures, Fingertip detection, Gesture-based interface, Hand tracking, Human gesture recognition, Image processing, Machine learning, Media Pipe, Neural networks, Non-contact control, Real-time processing, Touch less interaction, User Interface (UI) designAbstract
This paper presents an AI-powered virtual mouse system that offers a touchless alternative for computer interaction, utilizing Python and advanced computer vision techniques with libraries like OpenCV and MediaPipe. The system captures and interprets hand gestures in real-time, enabling users to control mouse functions such as cursor movement, clicking, and scrolling without traditional input devices. Its sensorless design operates solely with a standard webcam, making it cost-effective and user-friendly, particularly for individuals with physical disabilities. The system is adaptable to various lighting conditions, enhancing its usability in diverse environments. In light of the COVID-19 pandemic, the touchless functionality provides a hygienic solution, reducing the risk of virus transmission. Overall, this virtual mouse system enhances accessibility and promotes safe computing experiences. Future research may focus on improving gesture recognition accuracy and expanding the system's features for greater functionality.
