Human Action Recognition using Deep Learning
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Published:2023-05-31
Issue:5
Volume:11
Page:1888-1892
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ISSN:2321-9653
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Container-title:International Journal for Research in Applied Science and Engineering Technology
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language:
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Short-container-title:IJRASET
Author:
Gaikwad Suhani,Ghodekar Rutuja,Gatkal Nikhil,Prayag Atharv
Abstract
Abstract: The aim of this project is to recognize human actions for monitoring and security purposes. This project is mainly focused on building a system that is helpful for doctors to monitor patients .Human Action Recognition is required to recognize a set of human activities by training a supervised learning model and displaying the activity/action result as per the input action received. It has wide range of applications such as patient monitoring system, ATM/ Bank security system, etc. Human Action Recognition model can be mainly used for security and monitoring purposes. We can use various machine learning and deep learning algorithms for this project . One of the best approach is using CNN .
Publisher
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by
1 articles.
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