Human Activity Recognition

Human Activity Recognition

Registration ID: IJNRD_221344

Published ID: IJNRD2405256

DOI: Click Here to Get

Shashank G Gowda , Kavan Reddy , Likhith J , Richard Robin

VGG16 ,Open-CV.

Human Activity Recognition (HAR) serves as a pivotal function with implications spanning from healthcare monitoring to security systems. Recent advancements in Machine Learning (ML) alongside Computer Vision techniques have demonstrated considerable progress in automating this task. This paper offers a detailed review and analysis of diverse ML algorithms and Computer Vision methods used in HAR systems. We explore the challenges encountered in this field, such as variability in human actions, occlusion, and changes in perspective, and examine how various methodologies mitigate these issues. Moreover, we spotlight principal datasets employed for training and evaluation. Through a thorough empirical analysis, we assess the performance of various ML models in precisely identifying human activities from sensor data or video feeds. Our observations affirm the effectiveness of deep learning frameworks, especially Convolutional Neural Networks (CNNs), in detecting complex spatiotemporal patterns essential for HAR endeavors. Additionally, we explore forthcoming trends, ongoing challenges, and future avenues for research in this evolving area, highlighting the promise for continued progress through joint efforts among the ML and Computer Vision communities.

Published Paper   E-Certificate

"Human Activity Recognition", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.c563-c570, May-2024, Available :https://ijnrd.org/papers/IJNRD2405256.pdf

Volume 9 Issue 5, May-2024

Pages : c563-c570

Paper Reg. ID: IJNRD_221344

Published Paper Id: IJNRD2405256

Downloads: 000121126

Research Area: Computer Engineering 

Country: banglore, karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405256.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405256

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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