Sign Language Recognition

Sign language recognition is a process that involves interpreting and understanding sign language gestures using computer vision and machine learning algorithms. This technology can help bridge the communication gap between deaf and hearing communities since sign language is generally used by people who are deaf. To recognize sign language, computer vision is often used to track the movements of the hands and body, while machine learning algorithms are used to recognize different sign language gestures. Some sign language recognition systems also incorporate sensors or gloves that can detect the movements of the hands and fingers. The potential applications of sign language recognition technology are numerous, including creating more accessible learning materials for students who use sign language and facilitating communication between deaf and hearing individuals. However, challenges still need to be addressed to develop accurate and reliable sign language recognition systems.