Expanding the Possibilities of Video Surveillance Monitoring and Recovery Procedures for Post-stroke Patients

Abstract

The state examples of smart technologies for patients requiring long-term recovery and remote monitoring processes are considered. The application of the automated monitoring and recovery module is proposed. The composition of the module is considered, its settings are studied, and the joint operation of various variants of structural elements is analyzed. An artificial neural network is considered when using video surveillance and a manipulator. Using the example of three layers of its fragment, the problem arising from the simultaneous processing of quantitative and qualitative data information flows is studied. Using the multiplicative algorithm as a basis of artificial intelligence and for building algorithms for processing information flows of quantitative and qualitative information, described by fuzzy sets, resolves the contradictions in ensuring the operation of the two-dimensional function of the appropriateness of actions in automated control systems. As the experiments show, to effectively connect several webcams, it is better to use programs for working with video images. New options for settings, ease of working with the interface, and the possibility of creating a virtual webcam. Adjusting the appearance of the video stream, and launching a virtual camera with a button, provides video communication in common communication programs.