Hand Recognizer is one of the results of science and technology development. Recognition capability which is used to be difficult to do by a computer engine is not impossible any more today. This research aims to produce a hand recognizer application program that can recognize humans hand (movement) and recast it in numbers or called Motion Detection. The process of introduction and training conducted in this research uses Image Processing and Backpropagation. The application program designed in this research uses new hand shapes in the form of numbers as the training data which is able to recognize back the hands moved in accordance to the expected targets and the level of accuracy depending on the quality of the in-training data and length of training. Training can be continued until the introduction of hands or the application program achieves the required level of accuracy
Gazali W and Soeparno H. (2011). PENDETEKSIAN GERAK TANGAN MANUSIA SEBAGAI INPUT PADA KOMPUTER. MatStat, 11 (2), 129-137.
hands recognizer, motion detection, histogram, backpropagation, artificial neural network