Exploring Augmented Visual Guidance For Sign Language Learning

In motion learning, learners often observe and compare their performance with experts, sometimes using tools like mirrors. This switching of views, however, adds mental effort. For teachers, guiding multiple learners can be challenging. Sign language bridges communication between deaf and hearing individuals. Despite its importance, Filipino Sign Language (FSL) remains underutilized due to limited public awareness and insufficient educational resources. This paper describes the development of an augmented reality (AR) application that provides interactive visual guidance in the context of learning FSL. To assess the system’s responsiveness, camera feedback latency was measured across different devices. Results show that while performance varies depending on device capability, the system delivers the best immersive learning experience on laptops and newer smartphones, while still showing promise for use on older and less powerful devices. The findings contribute to broader accessibility initiatives in the Philippines and inform the development of more effective technological solutions for motion learning in general.

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Published
2025-05-20
DOI
https://doi.org/10.1109/ecti-con64996.2025.11101669
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
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article

Exploring Augmented Visual Guidance For Sign Language Learning

Roberto B. Figueroa, Liam Iñaki B. Gillamac
Hand Gesture Recognition Systems
article

Exploring Augmented Visual Guidance For Sign Language Learning

Roberto B. Figueroa, Liam Iñaki B. Gillamac
article en

Abstract

In motion learning, learners often observe and compare their performance with experts, sometimes using tools like mirrors. This switching of views, however, adds mental effort. For teachers, guiding multiple learners can be challenging. Sign language bridges communication between deaf and hearing individuals. Despite its importance, Filipino Sign Language (FSL) remains underutilized due to limited public awareness and insufficient educational resources. This paper describes the development of an augmented reality (AR) application that provides interactive visual guidance in the context of learning FSL. To assess the system’s responsiveness, camera feedback latency was measured across different devices. Results show that while performance varies depending on device capability, the system delivers the best immersive learning experience on laptops and newer smartphones, while still showing promise for use on older and less powerful devices. The findings contribute to broader accessibility initiatives in the Philippines and inform the development of more effective technological solutions for motion learning in general.

University of the Philippines System (PH), University of the Philippines Cebu (PH)
Quality Education
Openalex Percentile: Top 80%
Hand Gesture Recognition Systems
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