Published Paper Details:

The ability to communicate is fundamental to the human experience, but for the deaf and mute communities, this can be a challenge. Sign language is an essential tool for communication among these communities, but it requires a certain level of expertise to comprehend and use it. To address this issue, we propose a Sign Language Detection system that utilizes various sensors such as Flex Sensor, Gyroscope Sensor, and a Bluetooth Module, along with a Mobile Application and an LCD Module. The system operates by detecting the movements of the hand and wrist using the Flex Sensor and Gyroscope Sensor. These sensors detect the angle and bend of the fingers and wrist, respectively, and convert these movements into digital signals. The system is built on an Arduino platform and aims to enhance communication between the hearing and the deaf/mute communities. The proposed Sign Language Detection system is a significant step towards bridging the communication gap between the hearing and deaf/mute communities. By utilizing various sensors and a Mobile Application, the system can accurately detect and translate sign language into text, making communication more accessible and efficient. it allows for real-time communication, as the system processes the signals and translates them instantly. Finally, it is cost-effective and easy to use, making it accessible to a wide range of users.