Interaction modeling and classification scheme for augmenting the response accuracy of human-robot interaction systems.

Journal: Work (Reading, Mass.)
Published Date:

Abstract

BACKGROUND: Human-robot interaction (HRI) is becoming a current research field for providing granular real-time applications and services through physical observation. Robotic systems are designed to handle the roles of humans and assist them through intrinsic sensing and commutative interactions. These systems handle inputs from multiple sources, process them, and deliver reliable responses to the users without delay. Input analysis and processing is the prime concern for the robotic systems to understand and resolve the queries of the users.

Authors

  • Hai Tao
    Faculty of Computer System and Software Engineering, University Malaysia Pahang UMP, Pahang, Malaysia.
  • Md Arafatur Rahman
    Faculty of Computing, IBM CoE, and Earth Resources and Sustainability Center, Universiti Malaysia Pahang, Pahang, Malaysia.
  • Wang Jing
    School of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
  • Yafeng Li
    School of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Ahmed Al-Saffar
    Faculty of Computer System and Software Engineering, University Malaysia Pahang UMP, Pahang, Malaysia.
  • Renrui Zhang
    School of Electronics Engineering and Computer Science, Peking University, Beijing, China.
  • Sinan Q Salih
    Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.