Skip to main navigation Skip to search Skip to main content

CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT

  • Northwestern Polytechnical University Xian
  • Peking University

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

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 Internet of Things (IoT), namely, CrowdHMT. It aims to build a self-organizing, self-learning, self-adaptive, and continuous-evolving smart space with the deep fusion of Crowdsourced human, machine, and IoT intelligence. This article first 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.

Original languageEnglish
Pages (from-to)24822-24842
Number of pages21
JournalIEEE Internet of Things Journal
Volume9
Issue number24
DOIs
StatePublished - 15 Dec 2022

Keywords

  • Artificial Intelligence of Things (AIoT)
  • crowd intelligence
  • crowd sensing and computing
  • edge intelligence
  • urban computing

Fingerprint

Dive into the research topics of 'CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT'. Together they form a unique fingerprint.

Cite this