International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Advancements in Human Action Recognition: Leveraging Public Datasets and Biometric-Based Authentication Systems

Ameera S. MahmoodDepartment Computer Science, College of Computer and Mathematic Science, Mosul University, IraqYaseen Hikmat IsmaielDepartment Computer Science, College of Computer and Mathematic Science, Mosul University, Iraq

Vol 9 No 8 (2025): Volume 9, Issue 8, August 2025 | Pages: 22-30

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-08-2025

doi Logo doi.org/10.47001/IRJIET/2025.908004

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Abstract

Human action recognition HAR is one of the critical areas of research in computer vision with several applications in security, healthcare, and human-computer interaction. The datasets made available to the public are used in the development of the field because they offer crucial tools for model calibration, credibility checks, and determination of efficiency. This paper presents a brief and important overview of HAR datasets, based on the categories of atomic actions, behaviors, interactions, as well as group activities. From the datasets, KTH, NTU RGB+D, and UCF101, the impact on action recognition is analyzed. Further, we consider the use of a biometric-based password system to better understand a more secure and convenient way of operating password systems. In this paper, a strategy of combining biometric authentication methods with multi-factor security mechanisms is presented. The paper reveals the need for enhancing the performance of the biometric system to generate good, secure passwords and emphasizes the privacy issues and weaknesses of the system. Last of all, the paper presents the future directions and proposals for behavioral biometric and multi-modal approaches to enhance security.

Keywords

Human Action Recognition, Biometric Authentication, Public Datasets, Computer Vision, Action Recognition Datasets, Biometric Password Systems, Multi-Factor Authentication, Digital Security, Privacy, Behavioral Biometrics


Citation of this Article

Ameera S. Mahmood, & Yaseen Hikmat Ismaiel. (2025). Advancements in Human Action Recognition: Leveraging Public Datasets and Biometric-Based Authentication Systems. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(8), 22-30. Article DOI https://doi.org/10.47001/IRJIET/2025.908004

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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