Review of Literature on Human Activity Detection and Recognition

• Pavankumar Naik

  REVA University

  Author

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.

• PDF

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.