Gesture Speak – Empowering Connectivity with Smart Glove Technology

Authors

  • Vaishnav M. Sudhish Student, Department of Electronics and Communication Engineering, GITAM University, Hyderabad, India
  • M. Sathvika Student, Department of Electronics and Communication Engineering, GITAM University, Hyderabad, India
  • B. Teja Sri Student, Department of Electronics and Communication Engineering, GITAM University, Hyderabad, India

DOI:

https://doi.org/10.5281/zenodo.10932771

Keywords:

Indian Sign Language (ISL), Smart Glove, Gesture Recognition, Speech Synthesis, Inclusive Communication

Abstract

The development of a Smart Glove tailored for Indian Sign Language (ISL) recognition heralds a significant breakthrough in assistive technology, aimed at fostering inclusive communication for the mute and blind community. This innovative glove empowers users to express themselves effectively and engage actively in social interactions by seamlessly bridging the gap between ISL and verbal communication. Integrated with specialized sensors like accelerometers, gyroscopes, and flex sensors, the system precisely interprets ISL gestures, ensuring accurate gesture recognition. Leveraging the Raspberry Pi and Arduino Nano as the primary processing unit, the system interprets and processes ISL gestures while employing speech synthesis technology to convert interpreted gestures into synthesized speech for auditory communication. Furthermore, the Ultrasonic sensor HC-SR04 aids the blind community in navigation and object detection. The system facilitates immediate and inclusive interaction through synchronized interpretation and speech synthesis, facilitating seamless communication among differently-abled individuals. Continuous refinement efforts enhance gesture recognition accuracy, establishing an intuitive and accessible communication platform for users with hearing impairments.

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Published

05-04-2024

Issue

Section

Articles

How to Cite

[1]
V. M. Sudhish, M. Sathvika, and B. T. Sri, “Gesture Speak – Empowering Connectivity with Smart Glove Technology”, IJRESM, vol. 7, no. 3, pp. 123–126, Apr. 2024, doi: 10.5281/zenodo.10932771.