Love language shows how we best receive and express affection. While some people value words, others thrive on touch or time.

Integrated with MobileNetV2 and EfficientNetB1 deep learning models, the system achieves 99.73% average recognition accuracy for 25 sign language gestures with a 54.29 ms delay.

Choose from 14,957 Sign Language stock illustrations from iStock. Find high-quality royalty-free vector images that you won't find anywhere else.

🤟 EaseTalk - Intelligent Hand Gesture Recognition System EaseTalk is an advanced hand gesture recognition system that leverages computer vision and machine learning to provide real-time gesture ...

Traditional dog training often pairs a hand gesture with a verbal cue. Deaf dogs rely solely on visual signals.

Shabdancha Shunya is a real-time sign language recognition system specifically designed for the Marathi language. It uses deep learning and computer vision to translate hand gestures into readable ...

Speech and hearing-impaired individuals use gesture-based sign language as their chief method of communication. This sign language helps them to convey their feelings and thoughts to others. Despite ...

Africa’s media sign language interpreters have raised concerns over low payment, inadequate training, and the absence of interpretation services in important programs meant to cater to the deaf ...

They’ve developed a real-time American Sign Language (ASL) interpreter powered by artificial intelligence. This system uses deep learning and hand-tracking to convert ASL gestures into written text, ...

American Sign Language (ASL) recognition systems often struggle with accuracy due to similar gestures, poor image quality and inconsistent lighting. To address this, researchers developed a system ...