MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641110952 A) filed by St. Joseph'S College Of Engineering; Harish M S; Aravindan A; Prahalya P; and T. D. Sudhakar on September 16, 2026, for A Smart Multilingual Bidirectional Communication System For Deaf And Speech-Impaired People Using Wearable Glove And Mobile Application..
Inventors include St. Joseph'S College Of Engineering; Harish M S; Aravindan A; Prahalya P; and T. D. Sudhakar.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT Communication between deaf and speech-impaired individuals and normal people is often limited due to differences in communication methods and language barriers. Existing sign language translation systems mainly focus on one-way communication by converting hand gestures into text or speech, thereby restricting effective interaction. They generally do not provide a mechanism for understanding spoken language and lack multilingual support, making communication difficult in real-world scenarios. Therefore, there is a need for a low-cost, portable, and intelligent system that enables seamless two-way communication between deaf and hearing individuals. The proposed system consists of a wearable glove integrated with flex sensors and a gyroscope sensor interfaced with an ESP32 microcontroller to capture hand gestures. The acquired gesture data are transmitted to a mobile application, which converts the recognized signs into text and speech with multilingual support. In addition, the mobile application receives voice input from normal users, converts the speech into text, and displays or plays the corresponding gesture signs to facilitate understanding by deaf and speech-impaired individuals. Thus, the proposed system establishes bidirectional communication between both communities. The system is portable, user-friendly, and cost-effective, making it suitable for hospitals, educational institutions, workplaces, public service centers, and daily communication. By integrating gesture recognition, speech processing, and multilingual translation into a single platform, the proposed system enhances accessibility, promotes social inclusion, and bridges the communication gap between deaf and hearing individuals.
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