Recognition Of Polish Sign Gesture Language In Extended Reality

This paper presents a system for recognizing static gestures of Polish Sign Language (PJM) in Extended Reality (XR) using hand tracking. Developed in Unity3D with the XR Hands package and OpenXR, it employs a heuristic rule-based approach for real-time recognition without external machine learning models. The system was tested on Meta Quest 3 and validated on Meta Quest 2, demonstrating high accuracy under varying conditions. Results confirm the feasibility of XR-based sign language recognition, with potential applications in accessibility and education.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.7148/2025-0645
Primary Topic
Linguistics, Language Diversity, and Identity
Type
article
Field-Weighted Citation Impact
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article

Recognition Of Polish Sign Gesture Language In Extended Reality

Waqar Malik, Krzysztof Skabek, Gloria Kulis
Linguistics, Language Diversity, and Identity
article

Recognition Of Polish Sign Gesture Language In Extended Reality

Waqar Malik, Krzysztof Skabek, Gloria Kulis
article en

Abstract

This paper presents a system for recognizing static gestures of Polish Sign Language (PJM) in Extended Reality (XR) using hand tracking. Developed in Unity3D with the XR Hands package and OpenXR, it employs a heuristic rule-based approach for real-time recognition without external machine learning models. The system was tested on Meta Quest 3 and validated on Meta Quest 2, demonstrating high accuracy under varying conditions. Results confirm the feasibility of XR-based sign language recognition, with potential applications in accessibility and education.

Openalex Percentile: Top 76%
Linguistics, Language Diversity, and Identity
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Recognition Of Polish Sign Gesture Language In Extended Reality — Waqar Malik, Krzysztof Skabek, et al. · (2025) | TGRS Research Map | TGRS