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IJML 2026 Vol.9(6): 855-861
doi: 10.18178/ijmlc.2019.9.6.883

Nonverbal Communication Assistance System Based on Body Recognition in the Field of Education

Javier Fdez , Michita Imai

  • Department of Information and Computer Science, Keio University, Japan
  • Manuscript receivedJuly 10, 2019
  • revisedOctober 17, 2019

Abstract

Throughout this paper, a system able to provide support for the teacher on the nonverbal communication state of each one of the students is described. This system detects and classifies the facial expression and eye gaze of each student, generating a nonverbal state for each one of them. By using this information, the system is able to determine the classroom environment. It is also able to give suggestions to the teacher in the class so that his/her performance can improve. Furthermore, along with this publication, the different implementations that have been carried out and the first results obtained are described. Lastly, this paper discusses the performance of the system and any future work that may be carried out.

Keywords

  • Body recognition
  • education
  • eye gaze
  • facial expression
  • nonverbal communication
  • robotics
883-IT005

How to Cite

Copied

Javier Fdez and Michita Imai, "Nonverbal Communication Assistance System Based on Body Recognition in the Field of Education," International Journal of Machine Learning, vol. 9, no. 6, pp. 855-861, 2026. https://doi.org/10.18178/ijmlc.2019.9.6.883

Copyright & License

Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD