DESIGNING OF AN EMBEDDED SYSTEM FOR SIGN LANGUAGE TRANSLATION

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 12 | 01 | Page :
    By

    M. Dhana Durga,

  • S. Santhosha Kumari,

  • Navya Sri,

  • R. Dinesh Babu,

  • V. Mahendra Kumar,

  • V. Sandhya,

  1. Student, Department of Electronics and Communication Engineering Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  2. Student, Department of Electronics and Communication Engineering Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  3. Student, Department of Electronics and Communication Engineering Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  4. Student, Department of Electronics and Communication Engineering Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  5. Student, Department of Electronics and Communication Engineering Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  6. Associate Professor, Department of Electronics and Communication Engineering Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India

Abstract

Communication is a fundamental human right, yet over 70 million individuals worldwide who are deaf or speech-impaired face daily barriers in expressing their needs in healthcare, education, workplaces, and emergencies. Sign language serves as the primary mode of communication for this population; however, it is not universally understood by the hearing community, creating a persistent and critical gap in accessibility. Existing assistive solutions such as camera-based AI translators require high computational power, stable internet connectivity, and controlled lighting conditions, making them unsuitable for portable, real-world deployment. This paper presents HandSpeak, a wearable embedded sign language translation system designed to bridge this communication divide affordably and reliably. The system integrates an Arduino Mega 2560 microcontroller, four flex sensors forming voltage-divider circuits on a glove, an SSD1306 OLED display for real-time text output, and an A7670C 4G GSM module for emergency SMS communication. The firmware, developed in Embedded C/C++ using Arduino IDE 2.x, continuously polls sensor inputs and maps gesture patterns to one of four predefined outputs: SICK, EMERGENCY, HELP, and WATER. Upon detection of the EMERGENCY gesture, the system automatically dispatches an alert SMS to five predefined contacts without requiring any internet connectivity. The entire system is fabricated at a cost of approximately INR 2,500–3,500, making it one of the most cost-effective embedded sign language translators reported in recent literature. Prototype testing validated 100% gesture recognition accuracy after per-sensor calibration, sub-150 ms display response, and reliable SMS delivery across all five emergency contacts.

Keywords: Sign Language Translation, Flex Sensors, Arduino Mega 2560, OLED Display, GSM Module, Gesture Recognition, Wearable Assistive Technology, Embedded Systems.

How to cite this article:
M. Dhana Durga, S. Santhosha Kumari, Navya Sri, R. Dinesh Babu, V. Mahendra Kumar, V. Sandhya. DESIGNING OF AN EMBEDDED SYSTEM FOR SIGN LANGUAGE TRANSLATION. International Journal of Embedded Systems and Emerging Technologies. 2026; 12(01):-.
How to cite this URL:
M. Dhana Durga, S. Santhosha Kumari, Navya Sri, R. Dinesh Babu, V. Mahendra Kumar, V. Sandhya. DESIGNING OF AN EMBEDDED SYSTEM FOR SIGN LANGUAGE TRANSLATION. International Journal of Embedded Systems and Emerging Technologies. 2026; 12(01):-. Available from: https://journals.stmjournals.com/ijeset/article=2026/view=240130


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Ahead of Print Subscription Review Article
Volume 12
01
Received 16/03/2026
Accepted 18/03/2026
Published 15/04/2026
Publication Time 30 Days
1

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