Vision-based Real-time Sign Spelling System for Cross-lingual Translation using Neural Models

A neural-model approach to vision-based, real-time sign spelling and cross-lingual translation, published in the IEEE ICCBE 2025 proceedings.

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Citation details

  • Authors: Yu-Cheng Chang, Yu-Cheng Lung, Yu-Xuan Lin, Shan-Xi Yang, and Wei Chien
  • Conference: 2025 IEEE International Conference on Computation, Big-Data and Engineering (ICCBE)
  • Pages: 985–989
  • Venue and dates: Penang, Malaysia, 27–29 June 2025

Recognition

Yu-Cheng Lung is the second author. The paper received the IEEE ICCBE 2025 Best Conference Paper Award.