A Framework for IoT-Enabled Virtual Emotion Detection in Advanced Smart Cities

Abstract

A barrier coverage has been studied widely because it provides guaranteed detection of mobile objects after a barrier is constructed. Also, many researchers have investigated the recognition of human emotion by facial expression and human gesture or motion with possible high accuracy. In particular, thanks to recent remarkable advancements of technology, it is possible to recognize human emotion by wireless signal. In this article, we introduce a new emotion-detectable framework in advanced smart cities with a concept of barrier coverage in IoT-enabled environments. The proposed framework allows IoT devices to create a virtual emotion barrier, called a VEmoBar, which is able to sense human emotion through a wireless signal and its reflection. Also, we define a problem whose goal is to form a specific number of VEmoBars which returns a maximum cumulative accuracy. To solve the problem, we propose a novel approach as well as a system initialization and then evaluate them through extensive simulations with various scenarios. Moreover, we discuss future issues and challenges toward future promising smart cities based on this virtual emotion framework.