Evaluation of Activity Monitoring Algorithm based on Smart Approaches

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.

Pemanfaatan Sistem Informasi Berbasis Web untuk Monitoring Transaksi Penjualan Kasur Busa Pada Pinkl Foam

“…Vivekanandam [8] dalam evaluasi algoritma pemantauan aktivitas berdasarkan pendekatan cerdas menggunakan metode OOAD (Object oriented Analysis & Design) digunakan sebagai proses perancangan sistem. Hasil dari penelitian ini adalah merancang sistem yang dapat bertujuan untuk menganalisis mentalitas seseorang, deteksi emosi wajah adalah topik yang luas.…”

Investigation on Motion Teaching Video Compression Algorithm Based on Artificial Intelligence

“…With the continuous development of computer graphics technology and the increasing application demand, the reconstruction of key frame technology and the application of frame insertion technology are more and more widely. Firstly, the reconstruction technology of keyframes mainly refers to the reconstruction of a new keyframe sequence by analyzing and processing the original animation sequence, so as to improve the smoothness and realism of the animation [13][14]. This technology can be achieved through a comprehensive approach that involves multiple aspects such as inter frame interpolation; pose optimization, and scene reconstruction.…”