APPLICATION OF ANN IN HUMAN-MACHINE INTERFACES

Currently, there are almost no areas of human activity that are not concerned with automation, which has received the greatest popularity over the past few years. To date, the methods that are based on the organization and functioning of biological neural networks have become most famous. The article provides an analytical review of the possibilities of using artificial neural networks (ANN) in the development of human-machine interfaces based on various physical principles of interaction with the human body. This interface provides user interaction with the machines it manages. Examples of the use of human-machine interfaces in household, medical and military areas are given. Efficiency is due to the flexibility, nonlinearity, speed and learning of systems based on neural networks. Thus, users can monitor the process with great precision, achieving the best result. The problems of using ANNs in control systems of technical objects based on the recognition of natural speech, tracking the direction of sight, analysis of the electrical activity of the brain and muscle fibers of a person are considered. The tasks of pre-processing information, classification, analysis of the result obtained by processing the neural network are described.

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