MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134122 A) filed by Karpagam Academy Of Higher Education; Karpagam Institute Of Technology; Dr. S. Mythili; and Mohammed Rahiyan A, Coimbatore, Tamil Nadu, on Dec. 31, 2025, for 'ai virtual mouse using hand gestures.'
Inventor(s) include Dr. S. Mythili; and Mohammed Rahiyan A.
The application for the patent was published on Jan.9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent virtual mouse system based on hand gesture recognition using computer vision and deep learning techniques. The system is designed to provide hands-free cursor control by detecting user hand movements captured through a standard webcam. The method comprises real-time frame acquisition, image preprocessing, hand landmark extraction, gesture classification, and operating system-level cursor event mapping. Using advanced neural network architectures, the system detects key hand points and interprets their spatial relationships to identify gestures such as pointing, clicking, scrolling, and dragging. These recognized gestures are translated into corresponding mouse actions, enabling a fully functional virtual mouse interface. The proposed system operates without additional hardware devices, relying solely on software-based computer vision algorithms optimized for real-time performance. Image preprocessing techniques including noise removal, contrast enhancement, and region-of-interest extraction ensure consistent detection across diverse lighting conditions. The gesture recognition module employs machine learning models capable of accurately classifying dynamic and static gestures, ensuring robust operation even in complex backgrounds. A dedicated cursor control module converts gesture outputs into smooth, real-time cursor movements by mapping hand coordinates to screen coordinates using adaptive filtering techniques. The system's modular architecture allows easy customization of gesture sets, integration with third-party applications, and deployment across multiple platforms such as Windows, macOS, and Linux. Additionally, the invention enhances accessibility for users with motor disabilities and promotes touchless interaction in hygiene-sensitive environments. Overall, the invention presents a cost-effective, user-friendly, and universally compatible AI-based virtual mouse system. It advances the field of human-computer interaction by providing an intuitive and reliable alternative to traditional hardware input devices, leveraging the precision and speed of modern computer vision and deep learning technologies."
Disclaimer: Curated by HT Syndication.
