Open Access
Issue
ITM Web Conf.
Volume 81, 2026
International Conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability (ETMIS 2025)
Article Number 01013
Number of page(s) 12
DOI https://doi.org/10.1051/itmconf/20268101013
Published online 23 January 2026
  1. Sharma, M. Saini, Glove-based sign language recognition using accelerometers. IEEE Sens. J. 19, 1921–1927 (2019) [Google Scholar]
  2. A.M. Othman, M.A. Ba-Alwi, Sign language glove using flex sensors. Int. J. Comput. Appl. 179, 15–19 (2018) [Google Scholar]
  3. J. Smith, R. Hall, A. Brown, ASL alphabet recognition using CNNs and webcam input. Proc. Int. Conf. Comput. Vis. Syst., 112–118 (2020) [Google Scholar]
  4. S. Verma, V. Kumar, Real-time hand gesture recognition using MobileNetV2. IEEE Access 8, 203457–203465 (2020) [Google Scholar]
  5. K. Li, D. Xu, Real-time sign language to speech conversion using deep learning. J. Assist. Technol. 13, 245–253 (2021) [Google Scholar]
  6. R. Mehta, S. Pujari, Offline speech generation from hand gestures using Python TTS. Int. J. Recent Technol. Eng. 8, 421–425 (2020) [Google Scholar]
  7. M. Agarwal, R. Dubey, IoT-enabled assistive system for speech-impaired individuals. IEEE Internet Things J. 7, 5382–5389 (2020) [Google Scholar]
  8. N. Patel, S. Jain, ESP32-based wireless display for gesture-controlled communication. IEEE Embedded Syst. Lett. 13, 34–37 (2021) [Google Scholar]
  9. H. Zhang, Y. Liu, Q. Wang, Chinese sign language recognition using CNN and region-based detection. Pattern Recognit. Lett. 130, 298–305 (2020) [Google Scholar]
  10. V. Ramesh, A. Naik, Recognition of Indian sign language using deep learning techniques. Procedia Comput. Sci. 172, 150–157 (2020) [Google Scholar]

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