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

Shashank G Gowda, Kavan Reddy, Likhith J, & Richard Robin (May-2024). Human Activity Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), c563-c570. 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: 000121979

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

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