Concentration feedback system in web conference based on the face orientation of participants

Abstract

In recent years, the use of web conferencing has been spreading due to the impact of the new coronavirus, but there was a problem that it was difficult to grasp the status of other participants during a meeting. In this study, we report on the construction and evaluation of a system that analyzes the facial orientation of participants appearing in images captured by a 360 degree web camera, estimates the degree of concentration based on the results, and provides appropriate feedback to participants based on the degree of concentration, with the aim of improving efficiency by understanding participants' situations in web conferences.