Signox: Sensor-Based Lexical Mapping for Bi-directional Sign Language Transduction

Abstract

Effective communication is fundamental to social participation; however, individuals who rely on sign language often encounter barriers due to the limited proficiency of the general population in sign-based interaction. This paper presents Signox, a sensor-based lexical mapping framework for bi-directional sign language transduction. The system employs flex sensors embedded within a wearable glove to capture fine-grained finger movements, which are processed using an ATmega328P microcontroller for accurate gesture interpretation [1]. The recognized gestures are converted into corresponding textual and synthesized speech outputs through an integrated display and audio module with multilingual adaptability [2]. Furthermore, the proposed system supports voice-to-sign transduction by converting spoken input into text using a speech recognition unit and mapping it to appropriate sign language representations displayed visually [3]. This framework is implemented as a streamlined embedded system to maintain stable functionality and high efficiency. The Signox framework establishes a scalable and inclusive solution for accessible communication across diverse educational, healthcare, and public service environments [4].