MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025047 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on March 3, for 'a vision-based touchless interaction system for controlling real- time educational and cognitive games.'

Inventor(s) include Parvathi R; and Anu J.

The application for the patent was published on March 13, under issue no. 11/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a vision-based touchless interaction system for controlling real-time educational and cognitive games through hand gesture recognition using a standard monocular camera. The system comprises a real-time video acquisition module for continuously capturing and preprocessing video frames through illumination normalization, noise reduction, temporal buffering, and timestamping. A hand landmark detection and tracking module detects the user's hand, extracts fingertip, joint, and palm coordinates, assigns tracking identifiers, and stabilizes landmark positions across sequential frames, including interpolation during partial occlusion. A gesture interpretation and action mapping engine implementing a Semantic-Contextual Action Grammar with Beam Feedback Envelope (SCAG-BFE) algorithm evaluates spatial-temporal landmark features, validates gestures based on intentionality thresholds and developmentally constrained gesture grammar, and semantically maps validated gestures to context-specific actions without model retraining. A game logic and state management module updates game variables such as score, level, timer, and object positions, enabling dynamic state transitions. A visual feedback rendering module generates a language-independent beam feedback envelope to indicate correctness or error while overlaying live camera input. The centralized low - latency processing architecture ensures synchronized gesture detection, contextual mapping, game execution, and real-time feedback, enabling hygienic non-contact interaction and reusable gesture vocabularies across multiple applications."

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