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@article{174296,
        author = {Vaishnavi Chatreshwar and Prof.R.B.Khule and Arushi Nagmote},
        title = {IoT Based Monitoring of Foot Pressure Using FSR Sensor},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3365-3369},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174296},
        abstract = {The Foot Pressure Monitoring System is to create an intelligent, real-time monitoring solution to analyze and interpret foot pressure distribution using advanced machine learning(ML) techniques. This work investigates the crucial topic of diabetic foot ulcers (DFUs) and suggests a novel method for early identification that utilizes ML as well as the internet of things (IoT). A wound that is open and usually appears It is referred to as a foot ulcer beneath the feet. It might be profound and reveal the joints, tendons, and bones, or it may be less severe and superficial, showing up just below the skin's surface. A wearable shoe prototype with pressure and temperature sensors is shown in the study suggesting that diabetic foot ulcer complications may be preventable if early prophylaxis is implemented. This Internet of Things-enabled gadget makes it easier to evaluate your feet every day at home, enabling prompt detection of early signs and severity tracking. The goal of the real-time ulcer detection system is to improve proactive diabetic treatment, decrease amputations, and avoid complications by incorporating machine learning algorithms.},
        keywords = {Wearable shoes, Diabetes mellitus, Diabetic foot ulcers, Sensors, The Internet of Things, Machine Learning Algorithms and Alert Systems.},
        month = {March},
        }