HARNet in deep learning approach—a systematic survey

HARNet in deep learning approach—a systematic survey

Abstract A comprehensive examination of human action recognition (HAR) methodologies situated at the convergence of deep learning and computer vision is the subject of this article. We examine the progression from handcrafted feature-based approaches to end-to-end learning, with a particular focus o...

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Bibliographic Details
Main Authors: Neelam Sanjeev Kumar, G. Deepika, V. Goutham, B. Buvaneswari, R. Vijaya Kumar Reddy, Sanjeevkumar Angadi, C. Dhanamjayulu, Ravikumar Chinthaginjala, Faruq Mohammad, Baseem Khan
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Human action recognition (HAR)
Deep learning
CNN
Feature-based approaches
Accuracy
Online Access:https://doi.org/10.1038/s41598-024-58074-y

Internet

https://doi.org/10.1038/s41598-024-58074-y

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