Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
24 results found tagged sign language recognition.
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LaboSignes: an Interactive French Sign Language Recognition Interface
LaboSignes is a web-based interactive French Sign Language (LSF) recognition system aimed at search-by-sign, addressing the fact that most online resources, including bilingual dictionaries and news sites, are navigable only through written French, w…
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Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign Recognition
This CHI 2022 paper tackles a practical problem faced by the roughly 200,000 students currently studying American Sign Language (ASL) in the US: how do you look up the meaning of a sign you just saw when you don't know its English gloss? Unlike writt…
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Analyzing Deaf and Hard-of-Hearing Users' Behavior, Usage, and Interaction with a Personal Assistant Device that Understands Sign-Language Input
This CHI 2022 paper investigates how Deaf and Hard-of-Hearing (DHH) ASL signers would actually use a personal assistant device (such as an Amazon Echo Show or Google Home) if it could understand American Sign Language commands. The authors position t…
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American Sign Language Recognition in Game Development for Deaf Children
This paper presents CopyCat, an educational computer game that uses gesture recognition technology to help young deaf children (ages 6-11) practice American Sign Language (ASL) skills. The project addresses a critical language development challenge: …
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A Gesture Recognition Architecture for Sign Language
This paper from LIMSI-CNRS in France presents a gesture recognition architecture specifically designed for sign languages, grounded in a detailed linguistic analysis of French Sign Language (LSF). The key insight is that sign languages differ fundame…
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Spatial and Temporal Pyramids for Grammatical Expression Recognition of American Sign Language
This paper presents a novel computer vision framework for recognizing grammatical facial expressions and head gestures in American Sign Language (ASL) video. While most sign language recognition research has focused on manual components (hand shapes …
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Brazilian Sign Language Multimedia Hangman Game: A Prototype of an Educational and Inclusive Application
This doctoral consortium paper presents a prototype educational game — a hangman game that uses Brazilian Sign Language (BSL/Libras) as its input method. Instead of typing letters on a keyboard, players perform fingerspelling signs from the Libras ma…
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Accurate and Accessible Motion-Capture Glove Calibration for Sign Language Data Collection
This paper addresses a critical bottleneck in sign language technology research: the calibration of motion-capture gloves used to record hand movements for ASL animation and recognition systems. Motion-capture data enables the development of sign lan…
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Isolated Sign Language Recognition with Grassmann Covariance Matrices
This paper proposes a novel method for isolated sign language recognition using Grassmann Covariance Matrices (GCM) to fuse multimodal features captured by Microsoft Kinect. With 360 million people worldwide affected by hearing loss—21 million in Chi…
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Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications
This paper presents a scalable framework for continuous sign language recognition (SLR) designed to work in real-world conditions using affordable hardware. The researchers address a fundamental challenge in SLR: modeling the transitions between sign…