Enhancing Human-Computer Interaction: Integrating Voice Assistants and Gesture Recognition for Innovative Mouse Control

Abstract

Voice assistants, like Alexa, Cortana, Google Assistant, and Siri, have become commonplace and provide consumers with a handy voice-activated interface for using their gadgets. These software agents are capable of understanding spoken language, reacting via voice synthesizers, and carrying out a range of functions, including as answering inquiries, organizing calendars, and operating smart home appliances. In addition, hand gesture recognition—which is comparable to the biometric authentication seen in smartphones—has become a crucial component of human-computer interaction. This research suggests an innovative mouse control method by utilizing computer vision algorithms and real-time video feeds. The system translates hand gestures into mouse operations like clicking and scrolling by using image segmentation and gesture recognition, rather than modifying the mouse hardware or adding more buttons. This creative method shows how bringing together modern technologies can improve computing experiences while also streamlining user engagement.