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Degree Modification and Intensification in American Sign Language Adjectives.

, , and . Amsterdam Colloquium on Logic, Language and Meaning, volume 7218 of Lecture Notes in Computer Science, page 92-101. Springer, (2011)

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American Sign Language Recognition Using RF Sensing., , , , , , , , , and . CoRR, (2020)ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces., , , , , and . IEEE Trans. Hum. Mach. Syst., 52 (4): 699-712 (2022)Event segmentation in a visual language: Neural bases of processing American Sign Language predicates., , , and . NeuroImage, 59 (4): 4094-4101 (2012)ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network., , , , , , , , and . IEEE SENSORS, page 1-4. IEEE, (2020)Degree Modification and Intensification in American Sign Language Adjectives., , and . Amsterdam Colloquium on Logic, Language and Meaning, volume 7218 of Lecture Notes in Computer Science, page 92-101. Springer, (2011)Neural mechanisms of Event Visibility in sign languages., , , and . CogSci, cognitivesciencesociety.org, (2022)Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors., , , , , and . IEEE Trans. Aerosp. Electron. Syst., 58 (4): 2732-2745 (2022)Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors., , , , , , , and . ICASSP, page 8233-8237. IEEE, (2021)Application of machine learning to signal entrainment identifies predictive processing in sign language., , , and . CogSci, cognitivesciencesociety.org, (2021)Motion characterization using optical flow and fractal complexity., , and . J. Electronic Imaging, 27 (05): 051229 (2018)