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Communication obstacles faced by individuals with hearing and speech impairments pose considerable difficulties in everyday situations and crises. This study introduces an IoT-enabled assistive device designed to address these deficiencies, incorporating an ESP8266 microcontroller, push buttons, LEDs, and a vibration motor, together with an Android application for immediate emergency notifications. Firebase facilitates cloud communication, whilst OpenCV improves system interaction. The gadget functions as a Personal Area Network (PAN) for effective local connectivity. An extensive assessment analyzes response time, power consumption, and practical issues including Firebase latency. A comparative examination underscores its superiority over current assistive devices such as smartwatches and panic buttons, highlighting reliability, cost-effectiveness, and real-time responsiveness. Proposed enhancements encompass AI-driven emergency detection, edge computing for expedited processing, and blockchain for secure communication, rendering this solution a scalable and efficient instrument for improving accessibility and safety.

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IoT-Based Assistive Device for Bridging Communication Between Differently Abled and Abled Individuals

  • 会议论文

  • 发表日期：

    2026年

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  • Dhirendra Yadav,
  • Ritu Gautam

摘要

Communication obstacles faced by individuals with hearing and speech impairments pose considerable difficulties in everyday situations and crises. This study introduces an IoT-enabled assistive device designed to address these deficiencies, incorporating an ESP8266 microcontroller, push buttons, LEDs, and a vibration motor, together with an Android application for immediate emergency notifications. Firebase facilitates cloud communication, whilst OpenCV improves system interaction. The gadget functions as a Personal Area Network (PAN) for effective local connectivity. An extensive assessment analyzes response time, power consumption, and practical issues including Firebase latency. A comparative examination underscores its superiority over current assistive devices such as smartwatches and panic buttons, highlighting reliability, cost-effectiveness, and real-time responsiveness. Proposed enhancements encompass AI-driven emergency detection, edge computing for expedited processing, and blockchain for secure communication, rendering this solution a scalable and efficient instrument for improving accessibility and safety.