• Sammaiah Thurpati
• B.kavya
• J.sravani
• Ch.Goutham Raj
• P.Tharun madhav

This paper discusses the formation of a device-based sign language translator. The simplest form of communication in the world is speech. Since most persons with speech impairments communicate using sign language, it becomes more difficult for them to interact with regular people. The communication gap between those with speech impairments and the general population is too great for them to cross when they interact with one another. There are two methods for recognizing gestures: image processing-based and sensor-based. The paper goal is to create a smart glove that can translate sign language, making it easier for those who are deaf or hard of hearing to communicate. In this paper, gloves must have sensors that can detect various sign language motions, such as touch, accelerometer, and flex. Fingers with flex sensors attached measure how much a finger bends in response to a motion. An accelerometer that measures the hand's location in the axes is put on the palm. Touch sensors are positioned in the spaces between the fingers to detect any contact. The Arduino UNO board receive the detected data from the sensor, processes, and then use a Bluetooth module to send the data to an Android phone. We will receive the data in text format. After then, Google Text-to-Speech converts this text data into speech.

"ARDUINO BASED SIGN LANGUAGE TRANSLATOR USING GLOVE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d557-d562, November-2023, Available :http://www.jetir.org/papers/JETIR2311370.pdf

"ARDUINO BASED SIGN LANGUAGE TRANSLATOR USING GLOVE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd557-d562, November-2023, Available at : http://www.jetir.org/papers/JETIR2311370.pdf