Improvement of Chinese sign language translation system based on collaboration of arm and finger sensing nodes

With the rapid development of science and technology, the accelerated pace of life, people need to rely on language and hearing to exchange information, share information, learn and progress together. Currently there are about 70 million deaf and dumb people in the world, and in China there are about 20 million patients with different levels of hearing impairment. It is imminent to develop a set of devices that can connect the deaf and the normal people. With the development of human-computer interaction technology and pattern recognition technology, more and more researchers have entered into the field of sign language recognition and sign language translation. In this paper, we design a multi node sign language translation based on the pattern recognition technology. After data preprocessing, feature extraction, C4.5 decision tree algorithm recognition, 50 sign language actions with arms and body can get the recognition rate about 98%.