Task-Oriented Surveillance Framework for Virtual Emotion Informatics in Polygon Spaces
Sooeon Lee, Seungheyon Lee, Yumin Choi, Jalel Ben‐Othman, Lynda Mokdad, Kwang‐il Hwang, Hyunbum Kim
Abstract
Since the advent of high speed communications and reliable computing devices, it is indispensable to study how to process information and computations appropriately to deal with the requested tasks. In particular, for task-oriented environment, the virtual emotion informatics can be deliberated, which covers a series of detection, data sharing, transmission, governance, and management supported by numerous heterogeneous devices. In this study, we design a task-oriented surveillance framework for virtual emotion informatics through a cooperation of mobile robots and smart UAVs in polygon spaces. The devised framework essentially provides task-oriented virtual emotion security for the promising virtual emotion informatics. Also, we make a formal definition of the problem which pursues to minimize the number of system devices such that task-oriented virtual emotion security is satisfied in polygon spaces. To solve the problem, three different schemes are proposed and are performed through expansive simulations with various settings and scenarios in polygon spaces. Then their performances are evaluated with detailed discussions. In addition, we suggest promising research challenges and open issues toward new frontiers in virtual emotion informatics and its applications.