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Abstract: Hand Glide presents a unified system that uses the MediaPipe library for accurate hand landmark recognition and categorization, enabling smooth integration of gesture-based control (GBC) and voice-controlled assistant (VCA) features. The system allows users to effortlessly translate hand movements into actions such as mouse manipulation, clicking, scrolling, and system parameter adjustments by providing distinct classes for hand gesture recognition (HandRecog) and execution (Controller), as well as a main class orchestrating camera input and gesture control. In addition, Hand Glide also has VCA functionality, which uses speech recognition and synthesis libraries and natural language processing (NLP) techniques. With these tools, Hand Glide can reply to greetings, perform tasks like Wikipedia searches and website openings, and converse with users through the GPT-2 language model. By merging these features, Hand Glide providesusers with an interactive and intuitive means of computer control, with broad applications in user interfaces, accessibility solutions, and immersive experiences
K Kavyasree (Tue,) studied this question.
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