For example, Hidden Markov Models are used to analyze data statistically,[3] and GRASP and other machine learning programs use training sets to improve the accuracy of sign recognition.[5] Fusion of non-wearable technologies such as cameras and Leap Motion controllers have shown to increase the ability of automatic sign language recognition and translation software.[6]