Description:
Human gestures recognition and the practical use of the man - machine control systems development and research. It is also possible to control characters, fixed postures or gestures dynamic tests. Recognition Using Hidden Markov chain model, random trees sets classification, artificial neural networks, etc. The best method or combination of methods for selection by the identification of qualitative parameters. The possible result - the scientific feasibility study on the creation of an algorithm or a trial version of the program. Possible fields of application: mobile robot control, industrial control devices or applications management and so on.

Field of Science:
Diagnostic and measurement technologies, Smart environments and information technology, Technologies for sustainable development and energy