Authors :
Omkar Mandave; Abhishek Phad; Sameer Patekar; Dr. Nandkishor Karlekar
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/2ksxtswf
Scribd :
https://tinyurl.com/yc3vy98t
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR1530
Abstract :
Working information and classification is one
of the most important problems in computer science.
Recognizing and identifying actions or tasks performed
by humans is the main goal of intelligent video systems.
Human activity is used in many applications, from
human-machine interaction to surveillance, security and
healthcare. Despite continuous efforts, working
knowledge in a limitless field is still a difficult task and
faces many challenges. In this article, we focus on some of
the current research articles on various cognitive
functions. This project includes three popular methods to
define projects: vision-based (using estimates), practical
devices, and smartphones. We will also discuss some
advantages and disadvantages of the above methods and
give a brief comparison of their accuracy. The results will
also show how the visualization method has become a
popular method for HAR research today.
Keywords :
Artificial Intelligence (AI), Human Activity Recognition (HAR), Computer Vision, Machine Learning.
Working information and classification is one
of the most important problems in computer science.
Recognizing and identifying actions or tasks performed
by humans is the main goal of intelligent video systems.
Human activity is used in many applications, from
human-machine interaction to surveillance, security and
healthcare. Despite continuous efforts, working
knowledge in a limitless field is still a difficult task and
faces many challenges. In this article, we focus on some of
the current research articles on various cognitive
functions. This project includes three popular methods to
define projects: vision-based (using estimates), practical
devices, and smartphones. We will also discuss some
advantages and disadvantages of the above methods and
give a brief comparison of their accuracy. The results will
also show how the visualization method has become a
popular method for HAR research today.
Keywords :
Artificial Intelligence (AI), Human Activity Recognition (HAR), Computer Vision, Machine Learning.
