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@article{156078,
        author = {Navya Shree and Nethra TN and Lavanya N and Jamiksha Rani G and Sajidha Thabassum B and Veena KN},
        title = {SIGN LANGUAGE TO SPEECH CONVERSION FOR SPEECH IMPAIRED},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {2},
        pages = {806-808},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=156078},
        abstract = {Most people are deaf and dumb. Improving communication between people with disabilities to talk to ordinary people. The aim of the paper is to design a glove-based device that can convert sign language into text and speech output. The basic program consists of two parts, the first is sign language recognizable and then translated into a text and then into a speech Output. The transformation of sign language into speech involves a glove with a flexible sensor used to monitor the amount of finger bending. Flex means bending. it is a sensor that changes resistance depending on bending. Data from the sensor of the flex sensor is sent to the Raspberry Pi control unit. An analog signal from the sensor is digitally converted using a converter and is matched to a stored value and displayed on an LCD display. Next time the text output is wirelessly transmitted over Wi-Fi to a cell phone with sign language software.},
        keywords = {Flex Sensor, Accelerometer, Raspberry Pi.},
        month = {},
        }