Review of Literature on Human Activity Detection and Recognition

Abstract

Purpose: The objective of this research article is to methodically combine the existing literature on Human Activity Recognition (HAR) and provide an understanding of the present state of the HAR literature. Additionally, the article aims to suggest an appropriate HAR system that can be used for detecting real-time activities such as suspicious behavior, surveillance, and healthcare.

Objective: This review study intends to delve into the current state of human activity detection and recognition methods, while also pointing towards promising avenues for further research and development in the field, particularly with regards to complex and multi-task human activity recognition across different domains.

Design/Methodology/Approach: A systematic literature review methodology was adopted by collecting and analyzing the required literature available from international and national journals, conferences, databases and other resources searched through the Google Scholar and other search engines.

Findings/Result: The systematic review of literature uncovered the various approaches of Human activity detection and recognition. Even though the prevailing literature reports the investigations of several aspects of Human activity detection and recognition, there is still room for exploring the role of this technology in various domains to enhance its robustness in detecting and recognizing of multiple human actions from preloaded CCTV cameras, which can aid in detecting abnormal and suspicious activities and ultimately reduce aberrant human actions in society.

Originality/Value: This paper follows a systematic approach to examine the factors that impact the detection and recognition of Human activity and suggests a concept map. The study undertaken supplements the expanding literature on knowledge sharing highlighting its significance.

Paper Type: Review Paper.