Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking. Sensors , 2025; 25 (7): 2138 DOI: 10.3390/s25072138 Cite This Page : ...

Imagine a language tutor who is always on, available anytime to teach new vocabulary or check up on a student’s progress. On Thursday, Nvidia launched a language learning platform using ...

Imagine a language tutor who is always on, available anytime to teach new vocabulary or check up on a student’s progress. On Thursday, Nvidia launched a language learning platform using ...

As the number of individuals with speech and hearing impairments continues to grow, the demand for sign language recognition systems is increasing. Furthermore, most radio frequency-based gesture ...

Communication between normal people hearing-impaired people is usually realized with the sign language. However, the communication quality is limited by the familiarity of the people with sign ...

Quantized sequences are then analyzed using the Baum-Welch Re-estimation Algorithm, ... I. and Emon, Md.I.S. (2024) Design and Implementation of Hand Gesture Detection System Using HM Model for Sign ...

Repository for paper entitled Filipino Sign Language Alphabet Recognition using Persistent Homology Classification Algorithm - ji-chani/FSLAlphabetRecognition-PHCA ...

Abstract. This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication ...