Intelligent Bidirectional Sign Language Translator – Sign Language Communication
Xiangyang Zhang · Applied and Computational Engineering · 2025
With the increasing societal focus on the communication needs of individuals with hearing impairments, this paper proposes an intelligent bidirectional sign language translator – Sign Language Communication – aimed at building an efficient bridge for communication between hearing-impaired individuals and hearing individuals through technological innovation. The Sign Language Communication system integrates gesture capture modules, motion perception modules, information projection modules, speech input modules, and speech output modules, enabling functions such as data collection, real-time sign language recognition, bidirectional speech conversion, and visual information display. Research demonstrates that this system has broad applicability in sign language translation scenarios such as daily communication, business meetings, and educational classrooms, as well as in speech recognition-based interactions. Additionally, it caters to personalized user needs, providing hearing-impaired individuals with an efficient and convenient communication solution.