Intellectual Property India Publishes Patent Application for 'Multi-Modal Gesture-To-Speech Translation System' Filed by Lovely Professional University

MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611002189 A) filed by Lovely Professional University, Phagwara, Punjab, on Jan. 8, for 'multi-modal gesture-to-speech translation system.'

Inventor(s) include Chandanpreet Kaur; Chetan Suri; and Sumit Gupta.

The application for the patent was published on Feb. 13, under issue no. 07/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses a multi-modal gesture-to-speech translation system (100) for real-time gesture-to-speech translation. The glove (100) incorporates flex sensors (102), a 9-axis IMU (104), and tactile/pressure sensors (106) to capture comprehensive hand gesture data. An Edge-AI microcontroller (108) processes the multi-modal sensor inputs using a self-calibrating deep learning neural network, classifying gestures with high accuracy. A text-to-speech module (110) generates audible output through an integrated speaker. The system (100) communicates with a companion application (112) for continuous learning, customization, and data logging. Designed for comfort, low latency ( 500 ms), and extended battery life (114), the VoxSense Glove (100) enables inclusive, portable, and privacy-preserving communication for speech-impaired individuals."

Disclaimer: Curated by HT Syndication.