CrowdHMT: Crowd Intelligence with the Deep Fusion

Abstract

Mobile crowd sensing and computing (MCSC) has become a hot research area in recent years. This article presents our vision of the next generation of MCSC, Crowd Intelligence with the Deep Fusion of Human, Machine, and IoT, namely CrowdHMT. It aims to build a self-organizing, self-learning, selfadaptive, and continuous-evolving smart space with the deep fusion of Crowdsourced Human, Machine, and IoT intelligence. This paper firstly characterizes the concept of CrowdHMT. We further investigate its challenges and techniques, and present its main application areas. Finally, we make discussions about the open issues and future research directions of CrowdHMT.