Open AccessHUMAN INTELLIGENCE ANALYSIS AND DETECTING SCENARIOS USING ARTIFICIAL INTELLIGENCE BASED ON HUMAN COMPUTER INTERACTION IN EDUCATION SYSTEM
Author(s) -
Akash Dilip Hatalge,
B. F. Momin
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v06i03.012
Subject(s) - login , computer science , attendance , web application , human–computer interaction , world wide web , software , multimedia , computer security , economics , programming language , economic growth
It is different from the situation that peoplehave just experienced normal information from generalwebsites. Users of an educational web application forteaching as faculty and students need morecommunication with each other. That means theydesperately need to communicate with mediators likecomputers and other resources. Therefore, researchconducted on the design of human computers takes a hugeamount of value. In this paper, a user model ofEducational Web Application is concluded. The WebApplication includes that Facial Recognition for login,attendance and to see the student’s behavior in theclassroom by continuous monitoring. Knowledge trees andtests are designed for better understanding and to improveyourself in particular or all subjects. The aim of the paperis to develop a system to manage and maintainsentiments and detecting student’s behavior by humancomputer interaction. We propose a software frameworkto monitor boundaries, analyze them and support users tosee how they interact in conversations or lectures andmanage their emotions.