Sign-to-911: Emergency Call Service for Sign Language Users with Assistive AR Glasses

Autor/a: GUO, Y. et al.
Año: 2023
Editorial: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
Tipo de código: Copyright
Soporte: Digital

Temas

Medios de comunicación y acceso a la información » Tecnologías, Medios de comunicación y acceso a la información » Tecnologías » Inteligencia artificial

Detalles

Sign-to-911 offers a compact mobile system solution to fast and runtime American Sign Language (ASL) and English translations. It is designated as 911 call services for ASL users with hearing disabilities upon emergencies. It enables bidirectional translations of ASL-to-English and English-to-ASL. The signer wears the AR glasses, runs Sign-to-911 on his/her smartphone and glasses, and interacts with a 911 operator. The design of Sign-to-911 departs from the popular deep learning based solution paradigm, and adopts simpler traditional AI/machine learning (ML) models. The key is to exploit ASL linguistic features to simplify the model structures and improve accuracy and speed. It further leverages recent component solutions from graphics, vision, natural language processing, and AI/ML. Our evaluation with six ASL signers and 911 call records has confirmed its viability.

Ubicación