Abstract:

Now days, the development of ontological models for creating edges and their contours for moving objects in real time or close to it is an urgent task. An ontological model for implementing this process is shown in the article. The main algorithms for detecting object edges and constructing contours in an image and program codes for their implementation are considered in the article. It is noted that the Canny algorithm is the best for recognizing edges. At the same time, its serious drawback is determined, which consists in the fact that with insignificant movement of objects, more than 50% of information about the contours is lost.

Abstract: In this paper we describe an emotional human-machine interface as an anthropomorphic social agent which is able to comprehend emotions and react to emotional stimuli. We propose a neurobiologically inspired agent implementation that is based on mechanics of chemical and physiological processes within human brain. Implementation of model features simulation of neuromodulators such as dopamine, serotonin, and noradrenaline. Demonstration of emotions is achieved via combining aforementioned neuromodulators in different proportions. The Lȍvheim cube of emotions is used for this purpose. We also cover the topic of "uncanny valley" phenomenon. In conclusion of this paper we reached understanding of connection between mimics and motivation of individual. We have constructed realistic computation model which allows us to visualize agent's mimics in sync with his speech.