Sign Language Recognition Using Mediapipe Framework with Python

Inability to speak is considered to be a true disability. People with this disability use different modes to communicate with others, there are a number of methods available for their communication, one such common method of communication is sign language. Sign language is used by deaf and hard hearing people to exchange information between their own community and with other people. Computer recognition of sign language deals from sign gesture acquisition and continues till text/speech generation. Sign gestures can be classified as static and dynamic. However static gesture recognition is simpler than dynamic gesture recognition but both recognition systems are important to the human community. The sign language recognition steps are described in this survey. The data acquisition, data preprocessing and transformation, feature extraction, classification and results obtained are examined. Some future directions for research in this area are also suggested.