Human Action Recognition using Deep Learning

Suhani Gaikwad, Rutuja Ghodekar, Nikhil Gatkal, Atharv Prayag · International Journal for Research in Applied Science and Engineering Technology · 2023

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 .

Read the paper · More papers on PaperTik