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@article{152440,
        author = {Shivani Singh and Bhavya Pathak and Shubhanshu Sarkar and Ms Garima Singhal},
        title = {Message Detection for Face Paralytic Person},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {3},
        pages = {375-377},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152440},
        abstract = {The inability to move the muscles of the face on one or both sides is known as face paralysis, which may affect the ability of the patient to speak, blink, or communicate through natural facial expressions. The well-being of the patient could also be negatively affected. Embedded is the combination of both hardware and software and used as a means to detect facial paralysis. It is important in the development of standardized system for medical assessment, treatment, and monitoring; additionally, they are expected to provide user-friendly system for patient monitoring at home. In this work, for face paralytic persons message detection system is used. The people who are suffering from this disease can tell their problem through SMS. It provides the availability due to development of low-cost system and because of the low cost, many people will be able to afford this system and it will be easily available in the medical centers. Through switches, GSM Modem and Microcontroller and other components, there will be the successful completion of message detection for face paralytic persons.},
        keywords = {Facial paralysis, Embedded system, Message detection, Low-cost system},
        month = {},
        }