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International Journal for Research Trends and Innovation
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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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| Paper Title: | A Novel Approach to Human Activity Recognition: Integrating Automated Machine Learning and Multimodal Fusion Mechanisms |
| Authors Name: | Jatin Chopra , PAARTH PRASAD , ARCHISMITA GHOSH , GADDAM PRATHIK KUMAR , SHREYA VATS |
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| Author Reg. ID: |
IJRTI_188716
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| Published Paper Id: | IJRTI2312054 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | https://doi.org/10.5281/zenodo.10902000 |
| Abstract: | The realm of computer vision has maintained a sustained interest in human activity recognition for an extended duration, given its myriad applications across diverse domains such as medicine, surveillance, entertainment, and human-computer interaction. This research introduces a sophisticated, expeditiously trainable, and adaptable system designed for human activity recognition. This system leverages an automated machine learning methodology grounded in Neural Architecture Search. The proposed approach integrates information from various channels within a 3D video, including RGB and depth data, skeletal information, and contextual objects. These data streams are independently processed through 2D convolutional neural networks. Subsequently, the outcomes of these networks are amalgamated into a consolidated array of class scores through fusion mechanisms characterized by computational efficiency and the extraction of meaningful information from the video. To validate the efficacy of the proposed system, extensive experimentation is conducted using three publicly available datasets. The experimental results demonstrate a notable level of accuracy across all evaluated datasets. These findings underscore the robust performance of the proposed system in the realm of human activity recognition. This research presents the amalgamation of 2D-3D CNN for Human Activity Recognition with Multi Model Fusion Mechanism. |
| Keywords: | Human activity recognition, Skeletal data, Convolutional neural networks, Multimodal fusion |
| Cite Article: | "A Novel Approach to Human Activity Recognition: Integrating Automated Machine Learning and Multimodal Fusion Mechanisms", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 12, page no.379 - 384, December-2023, Available :http://www.ijrti.org/papers/IJRTI2312054.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: IJRTI2312054
Registration ID:188716
Published In: Volume 8 Issue 12, December-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10902000
Page No: 379 - 384 Country: Delhi, Delhi, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2312054 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2312054 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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