Smart Glove

Author(s)	Derle Sakshi Keshav, Desale Nikita Dadaji, Ms. A. D. Patil
Country	India
Abstract	Communication is a major challenge for people who rely on sign language, as most people do not understand hand gestures. To reduce this communication gap, this project presents an IoT-based Smart Glove system that converts sign language gestures into audible speech. The glove is integrated with flex sensors to detect finger bending and an MPU sensor to track hand movement and orientation. An ESP32 microcontroller collects the sensor data and transmits it wirelessly to a processing unit through the internet. The received data is analysed to recognize predefined hand gestures, and the corresponding text and audio output is generated using a text-to-speech module. The proposed system enables real-time conversion of sign language into voice, allowing speech-impaired individuals to communicate more easily with others. The device is designed to be portable, low-cost, and user-friendly, making it suitable for daily use. This Smart Glove demonstrates how IoT and sensor technology can be effectively used to build assistive communication systems.
Keywords	Smart Glove, Sign Language Recognition, Internet of Things (IoT), Flex Sensor, MPU Sensor, ESP32, Gesture Recognition, Assistive Technology, Text-to-Speech, Wearable Devices.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-06-29

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International Journal For Multidisciplinary Research