Sign Language Gesture Recognition Using Sensory Gloves for the Deaf
R Ritika, Shivani Asok, D B Sreelekshmy, Sreya Suresh, Gisha G. S · 2025
Sign language users and non-signature communication is improved by using sign language using signal conversion technology, allowing visual gestures from sign language to be translated into spoken and sounds. It breaks down barriers to communication very effectively by interpreting sign language and adding emotions with highly developed gestures and facial recognition. The extended components are used in both hardware and software to generate accurate hand movements such as flex sensors, accelerometers and gloves with gyroscopes. Data processing and wireless communication are performed by the ESP32 module. All of these gestures are interpreted by algorithms for machine learning to meet with corresponding speech. This is done in an idle and anaconda environment. The machine also includes expression and detection of emotions, allowing you to understand the sounds behind the signs and make communication more powerful. Information is transmitted via text about language technology via audible language. Gloves are specifically manufactured for those who use Indian sign language and can only wear them on the other hand. This technique improves communication by changing sign language to an audible language and simultaneously adding more advanced gestures and facial expression detection.