Abstract: Due to the huge advancements in computer vision research in recent years, many real-world tasks can be automated without human intervention using deep learning models. Hand gesture and sign language detection and translation is also one such area where using a person’s webcam, the hand gestures can be automatically detected and translated accurately. In this paper, we have explained our research on developing a real-time hand gesture and sign language detection and translation web application. Details about our implementation and the tools used are given. Finally, a summary of the results, future scope and conclusion are explained.
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DOI:
10.17148/IJARCCE.2022.11554
[1] Lavneesh Jaggi, Nitish Pasricha, Namita Goyal, "Real-Time Hand Gesture and Sign Language Detection and Translation," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11554
