Real Time Monitoring Sign Language Translation Glove

  • Unique Paper ID: 192963
  • Volume: 12
  • Issue: 9
  • PageNo: 3678-3682
  • Abstract:
  • Communication is an issue that still persists as one of the major problems for millions of people across the globe suffering from speech and hearing disability, resulting in their isolation and dependence on human interpreters. Although there exist many sign language recognition systems that typically involve the use of cameras and complex image processing, and which is often dependent on lighting conditions and costs involved along with privacy concerns as well, this paper proposes an alternative that is portable and wearable. The proposed system has a smart glove on which five flex sensors are mounted on the fingers, which identify the specific degree of bending for different sign gestures. The flex sensors function as resistive devices, and the variation in their resistance is measured as an analog signal to be further processed with an Arduino Nano microcontroller (ATmega328P). The microcontroller includes predefined calibration ranges and threshold algorithms to recognize hand gestures in real time. After recognition, the system gives dual-mode output: text translation visually displayed on 16x2 I2C LCD and speech audibly produced through the DF Mini Sound Module and a 0.5W speaker. The prototype is fueled by a rechargeable lithium-ion battery and is completely able to make a smooth shift from imperceptible physical movements to intelligible communication within a fraction of a second. The assistive technology provides a powerful and easy system for deaf-mutes to convey their needs on their own.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{192963,
        author = {Gourish Kattimani and Roselin Mothukuri and Ranjita K Dollegoudra and Ranjana Ramesh Mudakavi and Sharanu B Kadiwal and Akash Bellary},
        title = {Real Time Monitoring Sign Language Translation Glove},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3678-3682},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192963},
        abstract = {Communication is an issue that still persists as one of the major problems for millions of people across the globe suffering from speech and hearing disability, resulting in their isolation and dependence on human interpreters. Although there exist many sign language recognition systems that typically involve the use of cameras and complex image processing, and which is often dependent on lighting conditions and costs involved along with privacy concerns as well, this paper proposes an alternative that is portable and wearable.
The proposed system has a smart glove on which five flex sensors are mounted on the fingers, which identify the specific degree of bending for different sign gestures. The flex sensors function as resistive devices, and the variation in their resistance is measured as an analog signal to be further processed with an Arduino Nano microcontroller (ATmega328P). The microcontroller includes predefined calibration ranges and threshold algorithms to recognize hand gestures in real time. After recognition, the system gives dual-mode output: text translation visually displayed on 16x2 I2C LCD and speech audibly produced through the DF Mini Sound Module and a 0.5W speaker.
The prototype is fueled by a rechargeable lithium-ion battery and is completely able to make a smooth shift from imperceptible physical movements to intelligible communication within a fraction of a second. The assistive technology provides a powerful and easy system for deaf-mutes to convey their needs on their own.},
        keywords = {},
        month = {February},
        }

Cite This Article

Kattimani, G., & Mothukuri, R., & Dollegoudra, R. K., & Mudakavi, R. R., & Kadiwal, S. B., & Bellary, A. (2026). Real Time Monitoring Sign Language Translation Glove. International Journal of Innovative Research in Technology (IJIRT), 12(9), 3678–3682.

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