Paper Contents
Abstract
There are various studies in the literature for identifying various human activities. In this study, we offer the most recent research that shows how deep learning algorithms have improved overall at identifying or detecting the type of human activities. We give a quick overview of the issues and difficulties associated in recognizing human activity. We try to create a framework that would predict six categories of human behavior through a division-based rule approach.This article examines six human activities, including walking, ascending stairs, sitting, standing, and sleepinglaying. These procedures include feature extraction, classification, activity analysis, and recognition.The purpose of this publication is to give this field's scholars a literature review of six different human activity recognition along with its general structure.
Copyright
Copyright © 2023 Sehreen Mir. This is an open access article distributed under the Creative Commons Attribution License.
