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The purpose of this research is to create a control system for the exoskeleton to improve the performance of the industrial worker. This paper presents a model experiment to identify the target actions of a person while working to determine the target time points to turn on and off the useful functions of the exoskeleton. There are two main approaches for human activity recognition. Motion detection methods based on computer vision, and methods based on inertial sensors, for example [1]. In production conditions, inertial sensors provide better information about human actions, as they do not depend on the environment.