In today’s era of digital transformation, advancements in artificial intelligence are playing a crucial role in overcoming long-standing communication barriers. One such advancement is presented in ...

Abstract: This study introduces Efficient ConSignformer, a novel framework advancing Continuous Sign Language Recognition ... are further refined using the Efficient Conformer for the fused data from ...

SignBart is an efficient Isolated Sign Language Recognition model that decouples x and y coordinates using a lightweight encoder-decoder architecture. It achieves high accuracy with fewer than 750K ...

By learning four key sign language phonetic features—hand shape, hand position, hand orientation, and hand motion trajectory—as well as spatio-temporal features derived from whole-body skeletal data, ...

Research: Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking For ... and phrases. Existing ASL recognition systems often struggle with real-time performance, ...

Real-time American Sign Language detection using YOLOv5s, trained on 6 custom gestures. Detects hand signs via webcam and speaks the recognized gestures aloud using browser-based speech synthesis.

An efficient method that can reduce the time to debug parallel simulation pattern mismatches was discussed using the Parallel Strobe Data Flow. Adding Design for Testability with the advanced ...