International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Communicating effectively becomes extremely difficult for individuals with speech and hearing impairments, especially as the majority of people are not familiar with sign language. Existing assistive solutions often fall short as they are costly, influenced by environmental conditions, or lack real- time confirmation for the user. To overcome these limitations, the proposed IoT-based Smart Support Glove translates hand gestures into readable text and audible speech instantly. The glove integrates flex sensors and an MPU6050 module to accurately capture finger movements and hand orientation. An Arduino Nano processes these signals and identifies the performed gesture, which is then transmitted to a server through an ESP8266 Wi-Fi module. The server-side algorithm converts the encoded gesture data into text or speech within a mobile application. Additionally, a vibration motor provides haptic feedback, assuring the user whether their purpose has been delivered. Designed to be lightweight, affordable, and scalable, this wearable system offers a practical assistive tool that enhances communication, accessibility, and social inclusion.

Keywords: IoT (Internet of Things), Assistive Technology, Gesture Recognition ,Smart Glove / Wearable Device ,Flex Sensor ,MPU6050 (Accelerometer/Gyroscope) ,Arduino Nano , ESP8266 Wi-Fi Module ,Text-to-Speech (TTS) ,Haptic Feedback/ Vibration Motor / Buzzer ,Wireless Communication ,Speech and Hearing Impairment ,Embedded System.

Downloads: | DOI: 10.17148/IJARCCE.2025.1412127