Year: 2026
Type: article
Abstract: Human–computer interaction has significantly improved with advancements in computer vision and AI. This paper presents an adaptive gesture-based control system for both physically challenged and general users. It operates in two modes: eye-controlled for users with limited mobility and hand gesture-based for standard users. Using a webcam, the system captures facial landmarks and hand movements to perform real-time actions like cursor control, keyboard input, app switching, brightness, and volume control. The proposed system provides an efficient, low-cost, and accessible alternative to traditional input devices.
Authors: Raj Palande, Rohit Surve, Roshan Pawar, Kalpana Gangwar
Institution: University of Mumbai
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7154994625
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