Abstract
Immersive Virtual Reality (IVR) systems support several modalities such as body, finger, eye, and facial expressions tracking, thus they can support sign-language-based communication. The combined utilization of tracking technologies requires careful evaluation to ensure high-fidelity transference of body posture, gestures, and facial expressions in real-time. This paper presents the design, development and evaluation of an IVR system utilizing state-of-the-art tracking options. The system is evaluated by certified sign language teachers to detect usability issues and examine appropriate methodology for large-scale follow-up evaluation by users fluent in sign language.
Cite
CITATION STYLE
Dzardanova, E., Kasapakis, V., Vosinakis, S., & Psarrou, K. (2022). Sign Language in Immersive VR: Design, Development, and Evaluation of a Testbed Prototype. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST. Association for Computing Machinery. https://doi.org/10.1145/3562939.3565676
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