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@article{174045,
        author = {Keerthana S and Dharshini T and Divya R K and Jinshya M},
        title = {Sign Language Interpreter System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2661-2666},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174045},
        abstract = {This paper presents the design and implementation of a sign language interpreter system. This system translates sign language gestures into speech using a PIC microcontroller. It utilizes sensors such as flex sensors, attached to a glove worn by the user. These sensors capture the hand movements and gestures, which are then processed by the PIC microcontroller to recognize specific signs. The microcontroller interprets the signals and maps them to corresponding pre-recorded speech outputs using a voice module. This translation allows the conversion of sign language gestures into audible speech, facilitating real-time communication between sign language users and those who do not understand sign language. The use of a PIC microcontroller enables efficient processing and low power consumption, making the system portable and cost-effective. The proposed system can be used in various applications, such as education and everyday communication, promoting greater inclusivity for the hearing-impaired community.},
        keywords = {Sign Language Interpreter, PIC Microcontroller, Speech Translation, Flex Sensors, Recognition, Voice Module, Hand Movement Detection, Real-time Communication, Portable System, Low Power Consumption, Cost-effective, Inclusivity, Hearing-Impaired Community, Assistive Technology, Education Applications.},
        month = {March},
        }