Evaluation of Activity Monitoring Algorithm based on Smart Approaches
B Vivekanandam
Abstract
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.
Topics & Concepts
TUTORComputer scienceWindow (computing)Class (philosophy)Online learningQuality (philosophy)Artificial intelligenceActivity recognitionMachine learningMultimediaWorld Wide WebProgramming languagePhilosophyEpistemologyTechnology and Human Factors in Education and HealthDigital Media and Visual ArtAI and Big Data Applications