American Sign Language
PulseAugur coverage of American Sign Language — every cluster mentioning American Sign Language across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New study analyzes how conversation shortens ASL signs in STEM discourse
Researchers have developed a new method to study how conversational context influences the articulation of American Sign Language (ASL) in STEM discourse. By collecting motion capture data of ASL dialogues, they observe…
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MIT wristband uses ultrasound to teach robots human dexterity
MIT researchers have developed an ultrasound wristband that captures human hand and muscle movements. This data is then used to train robots, enabling them to perform complex tasks like housework and surgery with greate…
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Direct sign language translation model developed using synthetic data
Researchers have developed a novel method for direct translation between different sign languages, addressing a gap in current sign language technology. Their approach utilizes back-translation to create synthetic paral…
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AI-powered rings translate sign language with 88% accuracy
Researchers have developed electronic rings that can interpret sign language by wirelessly transmitting motion data to an AI system. Unlike previous camera-based or smart glove systems, these rings offer a more practica…
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New set-based registration framework generalizes across cardiac MRI protocols
Researchers have developed a new set-based groupwise registration framework called \AnyTwoReg for cardiac MRI sequences. This method treats input data as an unordered set, decoupling network design from sequence length …
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Neuromorphic system achieves low-latency, energy-efficient sign language recognition
Researchers have developed a novel neuromorphic architecture for American Sign Language (ASL) recognition, integrating a spiking visual attention mechanism with a compact spiking neural network on the SpiNNaker platform…
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Apple AI bootstraps sign language annotation, cutting costs and improving models
Researchers from Apple and Gallaudet University have developed a pseudo-annotation pipeline to significantly reduce the cost and time required for annotating sign language data. This new method uses sparse predictions f…