Sign Language or Gesture-Based Recognition System: A Review
Anjana Mishra, Ayush Kumar, Abhinav Kumar, Abhishek Mahato, Keshav Kamal · 2024
Sign Language detection is a critical area of research as it is really important for making communication easier for many people. This paper brings together what we know about Sign Language detection. It mainly looks at how computers and machines are getting better at understanding Sign Language with new technology and methods like computer vision, machine learning techniques, and IoT. What we discovered shows that more and more people are interested in making tools that can understand Sign Language. This is because we want to make communication better for everyone. In our research, they often use methods like recognizing hand movements, understanding facial expressions, and tracking body positions. We also found some problems, like making these methods work well in different lighting and having a standard set of Sign Language examples to work with. This shows how much more we need to study and create new things in this area to help hard-of-hearing and deaf people communicate better. People who do research and those who work on these technologies can use our review to get ideas and make new and better Sign Language understanding tools.