Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities

Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-base...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Switzerland), 2023-02, Vol.23 (4), p.2182
Main Authors:	Morshed, Md Golam, Sultana, Tangina, Alam, Aftab, Lee, Young-Koo
Format:	Article
Language:	English
Subjects:	Algorithms Artificial intelligence Augmented Reality Automation Biometrics Cameras Computer Security Computer vision Datasets Deep learning Forecasts and trends Hand hand-crafted human action recognition Human Activities Human acts Human behavior Humans Identification Learning strategies Machine learning Machine vision Neural networks Pattern Recognition, Automated Performance evaluation Research methodology Review Sensors Surveillance survey Surveys Taxonomy Trends Virtual reality
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