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@article{188189,
        author = {Shayan Shaikh and Jaydev Shelke and Anushka Shinde and Shantanu Sasane and Aditya Shinde and Umesh Chavan},
        title = {IoT Based Smart Assistance System for Paralysis Patient},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2269-2274},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188189},
        abstract = {Since paralysis causes problems with moving, communicating and performing daily activities, new approaches have to be found to support patient independence. This paper proposes an Internet of Things (IoT)-based smart assistance system which has been designed to improve quality of life for individuals suffering with paralysis. The system makes use of  wearable sensors, voice recognition, gesture motions to let users smoothly access their surroundings. By leveraging cloud computing and live data processing, the service quickly meets users’ needs, allowing people to access home automation, emergency alerts and healthcare by just pressing a button. 
Initial tests indicate that the solution could increase accessibility, decrease the need for care givers and allow people with paralysis to handle more everyday on their own. On going efforts will pay attention to boosting how the device responds, safeguarding the system and making it more valuable within areas that are advancing health care technology.},
        keywords = {IoT-based assistance, Paralysis patient support, Wearable sensors, Voice recognition, Gesture control, Personalized user interface, Remote patient monitoring, Accessibility enhancement, Caregiver support, Real-time data processing, Healthcare monitoring.},
        month = {December},
        }