MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111031 A) filed by Dayananda Sagar College Of Engineering on September 16, 2026, for Smart Assistive Wearable System For Enhancing Interaction In Public Environments.
Inventors include Dr G Manikanta; Dr Anubhav Kumar Pandey; Dr Priyanshu Kumar; Mohammad Abdul Arhaan Majeed; N. Nikitha; Mohammed Nawaz Sharif; Shruti R Gunaga; and Dr Murali Matcha.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: Among those who cannot hear well, the lack of ability to communicate with others who do not know sign language remains a barrier in everyday interactions. Because most people do not understand how to communicate using sign language, people who are hearing-impaired often find it difficult to communicate with others when they are in public under various circumstances, including when working, in hospitals and educational settings. This results in miscommunication between individuals, increased feelings of isolation, and reliance on human interpreters who may not always be available. To address the need for increased access to communicative technology for people who are hearing-impaired, researchers are looking at whether the use of sign language interpreter gloves will provide an alternative communication method for people who are hearing-impaired and do not use sign language. Sign language interpreter gloves are equipped with flex sensors that allow them to detect movements made by the user’s hands and fingers. There is a growing list of commercial solutions that use gesture recognition systems designed to recognize and translate hand movements to text or verbal communication. These solutions range from systems that use vision-based gesture recognition technology, sensor-based gloves that use flex/accelerometer sensors, to hybrid systems that employ both technologies to improve efficiency. The main component of this study will include flexion sensors (used to identify when an individual bends their fingers) and Arduino microcontrollers (used to process and transmit information). The use of flexion sensors provides numerous benefits over other types of measuring devices, including capturing movement accurately, low cost of implementation, and minimal processing requirements.
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