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.
Index Terms—Body recognition, education, eye gaze, facial expression, nonverbal communication, robotics.
Javier Fdez and Michita Imai are with the Department of Information and Computer Science, Keio University, Japan (e-mail: firstname.lastname@example.org, email@example.com).
Cite: Javier Fdez and Michita Imai, "Nonverbal Communication Assistance System Based on Body Recognition in the Field of Education," International Journal of Machine Learning and Computing vol. 9, no. 6, pp. 885-861, 2019.Copyright © 2019 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).