Human Action Recognition using Deep Learning

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. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Revolutionizing Human Action Prediction and Detection through Extended Transfer Learning: A Novel Approach for Cross-Domain Knowledge Integration;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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