IoT-enabled smart glove for sign language translation: Enhancing accessibility and device interaction

Speech is the most basic form of communication in the world, but individuals who are deaf or hard of hearing may face challenges in expressing themselves because sign language, while effective, is not always easily understood by those unfamiliar with it. In order to facilitate communication for the hard of hearing and deaf, a glove equipped with flex sensors to recognize various motions is being used in the “IoT based hand gesture translation using smart glove” project. The speaker receives the gesture outputs from these sensor data via voice module, which is identified by a local IoT. To interpret motions and cause related actions on linked IoT devices, the Suggested system makes use of machine learning algorithms. The effectiveness and consistency of the Internet of Things-based hand gesture detection system with the smart glove are extensively evaluated through a battery of tests and performance assessments. With their demonstration of notable progress in natural hand gesture control of Internet of Things devices and intuitive user interfaces, the results portend a new age in interactive technology interfaces.