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Paralytic and disabled patients often struggle to communicate their needs effectively, impacting their quality of life. This paper introduces an innovative IoT-driven communication system designed to address this challenge. Integrated heart rate sensors in gloves capture real-time physiological data, analyzed using an Enhanced Multi-Layer Perceptron (MLP) model with ASCG optimization. Predicted needs are communicated to caregivers via a web interface, enhancing real-time monitoring and response efficiency. The overall system results in an impressive prediction accuracy of over 90%.

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Empowering Lives: A Revolutionary IoT-Driven Communication System for Paralytic and Disabled Patients

  • 会议论文

  • 发表日期：

    2025年

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  • D. Yuvasini,
  • S. C. Rajkumar,
  • Deepa Natesan,
  • Balamurugan Balusamy,
  • Sushama Tanwar

摘要

Paralytic and disabled patients often struggle to communicate their needs effectively, impacting their quality of life. This paper introduces an innovative IoT-driven communication system designed to address this challenge. Integrated heart rate sensors in gloves capture real-time physiological data, analyzed using an Enhanced Multi-Layer Perceptron (MLP) model with ASCG optimization. Predicted needs are communicated to caregivers via a web interface, enhancing real-time monitoring and response efficiency. The overall system results in an impressive prediction accuracy of over 90%.