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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Published Paper Details
Paper Title: Recognition of Human Activity using CNN
Authors Name: Shrusti S Rao , Divyashree S , Vaishnavi S , Sanjana Shenoy
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IJRTI_188859
Published Paper Id: IJRTI2401022
Published In: Volume 9 Issue 1, January-2024
DOI:
Abstract: In recent times, the field of human activity recognition (HAR) has witnessed significant advancements, particularly through incorporation pertaining to Machine Learning (ML) techniques. This survey paper explores the developments in HAR, focusing on the implementation of Convolutional Neural Networks (CNN). The usage of CNN in detecting human activities holds immense potential for various domains, including senior care, anomalous behavior identification, and surveillance systems. The paper discusses the evolution from conventional machine learning techniques to feature engineering and, ultimately, the automatic feature extraction capabilities of CNN models. The suggested framework aims to leverage CNN to forecast human behaviors and identify anomalous activities in real time, contributing to enhanced public safety.
Keywords: Activity Detection, Anomalous Behavior, CNN Models, Feature Engineering, Machine Learning, Real-time Monitoring.
Cite Article: "Recognition of Human Activity using CNN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.128 - 133, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401022.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2401022
Registration ID:188859
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 128 - 133
Country: Bengaluru, Karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2401022
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2401022
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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