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ASL Sea Battle: Gamifying Sign Language Data Collection
International Conference on Human Factors in Computing Systems, 2021The development of accurate machine learning models for sign languages like American Sign Language (ASL) has the potential to break down communication barriers for deaf signers. However, to date, no such models have been robust enough for real-world use.
Danielle Bragg +5 more
semanticscholar +1 more source
Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility - ASSETS '15, 2015
In this paper, we introduce the American Sign Language STEM Concept Learning Resource (ASL CLeaR), an educational application demo. The ASL CLeaR addresses a need for quality ASL STEM resources by featuring expertly presented STEM content in ASL, and employing an ASL-based search function and a visuocentric search interface.
Jeanne Reis +4 more
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In this paper, we introduce the American Sign Language STEM Concept Learning Resource (ASL CLeaR), an educational application demo. The ASL CLeaR addresses a need for quality ASL STEM resources by featuring expertly presented STEM content in ASL, and employing an ASL-based search function and a visuocentric search interface.
Jeanne Reis +4 more
openaire +1 more source
Teaching ASL Signs using Signing Avatars and Immersive Learning in Virtual Reality
International ACM SIGACCESS Conference on Computers and Accessibility, 2020We present here a new system, in which signing avatars (computer-animated virtual humans built from motion capture recordings) teach introductory American Sign Language (ASL) in an immersive virtual environment.
Lorna C. Quandt
semanticscholar +1 more source
Deep learning–based MR fingerprinting ASL ReconStruction (DeepMARS)
Magnetic Resonance in Medicine, 2020To develop a reproducible and fast method to reconstruct MR fingerprinting arterial spin labeling (MRF‐ASL) perfusion maps using deep learning.
Qiang Zhang +11 more
semanticscholar +1 more source
The Journal of Private Equity, 2005
How do stakeholders decide which direction to take when a company is in default and seemingly in a free fall? A group of stakeholders believed that Kasper, a leading international branded apparel company, could be saved despite being unable to integrate the acquisition of the Anne Klein brand and unable to service its debt.
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How do stakeholders decide which direction to take when a company is in default and seemingly in a free fall? A group of stakeholders believed that Kasper, a leading international branded apparel company, could be saved despite being unable to integrate the acquisition of the Anne Klein brand and unable to service its debt.
openaire +1 more source
We propose a novel approach for American Sign Language (ASL) recognition that combines Google MediaPipe's real-time hand and body landmark tracking with a lightweight deep learning model trained on the MS-ASL dataset. We called this model “Key Frame MLP”, and it extracts the key frames features from the sequence of hand and pose landmarks, enabling ...
Carles Vila Ferrer +3 more
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Carles Vila Ferrer +3 more
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ASL-3DCNN: American sign language recognition technique using 3-D convolutional neural networks
Multimedia tools and applications, 2021Shikhar Sharma, Krishan Kumar
semanticscholar +1 more source
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2010
American Sign Language (ASL) currently lacks agreed-upon signs for complex terms in scientific fields, causing deaf students to miss or misunderstand course material. Furthermore, the same term or concept may have multiple signs, resulting in inconsistent standards and strained collaboration.
Anna C. Cavender +3 more
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American Sign Language (ASL) currently lacks agreed-upon signs for complex terms in scientific fields, causing deaf students to miss or misunderstand course material. Furthermore, the same term or concept may have multiple signs, resulting in inconsistent standards and strained collaboration.
Anna C. Cavender +3 more
openaire +1 more source

