Open AccessEvaluation of Activity Monitoring Algorithm based on Smart Approaches
Author(s) -
B Vivekanadam
Publication year - 2020
Publication title -
journal of electronics and informatics
Language(s) - English
Resource type - Journals
ISSN - 2582-3825
DOI - 10.36548/jei.2020.3.004
Subject(s) - tutor , computer science , window (computing) , class (philosophy) , online learning , quality (philosophy) , artificial intelligence , activity recognition , machine learning , multimedia , world wide web , philosophy , epistemology , programming language
Activity monitoring in online group meetings has become a needed application in the COVID-19 situation. During the lockdown period, most of the teaching classes were conducted through online web applications. The number of attendees in such classes are very higher and it is not to be manageable by a single tutor of the class. The applications are also designed to show only several number of person’s faces in a particular window. To improve the quality of such online classes, it is mandatory to verify the listener’s activity. The paper evaluates certain artificial intelligence based deep learning techniques for finding a suitable approach for monitoring the listener’s activity in real time.