International Journal of Science, Engineering and TechnologyAuthors: Ms. Sharvari Masurkar, Ms. Samruddhi Kondekar, Dr. Jasbir Kaur, Assistant Professor Ms. Sandhya Thakkar
Abstract: The rapid advancement of artificial intelligence and computer vision has significantly transformed the field of Human- Computer Interaction (HCI). Physical input devices such as keyboards and mice, while efficient, require direct tactile contact, which may be undesirable in contexts demanding heightened hygiene, accessibility, or convenience. This paper presents the design, implementation, and evaluation of an AI Virtual Keyboard system that enables touchless typing through real-time hand gesture recognition. The proposed system leverages OpenCV for video capture and image processing, and MediaPipe for detecting 21 hand landmarks that are subsequently translated into keystrokes using Euclidean distance-based gesture interpretation. A comprehensive user study involving 30 participants evaluated the system on accuracy, typing speed, and usability. Experimental results demonstrate a gesture detection accuracy of 92–95%, precision of 93%, and an average typing speed of 12–15 words per minute (WPM) for novice users and up to 18–20 WPM for experienced users. The system was tested under varying lighting conditions (150–600 lux) and achieved consistent performance with an average response time of 1.0–1.5 seconds. User feedback indicates 80% of participants found the system easy to learn within minutes. While slower than traditional physical typing (40– 60 WPM), the proposed system offers a viable touchless alternative for public kiosks, healthcare environments, and accessibility applications.
