We conduct world-class scientific research to empower all deaf people. Missed DCALx or want to watch a talk again? Recordings from the event are now available on the DCAL YouTube channel, with ...
Our brain synchronizes with the rhythmic patterns of auditory speech, a phenomenon thought to support spoken language comprehension. This study investigates whether a similar mechanism is involved in ...
Abstract: This study investigates the potential of impedimetric measurements providing deep muscle information for recognizing 36 American Sign Language (ASL) hand signs. Two measurement methods are ...
Abstract: In this article, we introduce a cost-effective and real-time intelligent system tailored to Pakistan sign language (PSL) recognition, aimed at facilitating communication for hearing-impaired ...
In machine learning, one of the most popular deep learning methods is the convolutional neural network (CNN), which utilizes shared local filters and hierarchical information processing analogous to ...
Although sign languages and nonlinguistic gesture use the same modalities, only sign languages have established vocabularies and follow grammatical principles. This is the first study (to our ...
This small project contains approaches to classify letter/alphabet images that contain gestures of the American Sign Language (ASL). Deep Learning models are implemented using Keras, including (1) ...
This paper presents a diagnostic system for classification of cardiac arrhythmia from ECG data, using Logistic Model Tree (LMT) classifier. Clinically useful information in the ECG is found in the ...
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