Abstract:
Human action detection and recognition is a topic that is constantly being
studied in machine learning and deep learning. We can perform the human
action recognition by using machine learning and deep learning. In this study,
both machine learning and deep learning are used in the research work. There
are separate data sets for deep learning and machine learning. With the help
of deep learning algorithms, the model can predict the amount of activity.
How algorithms are working and their accuracy will be compared. Classifier
Algorithms Model Algorithms used are Logistic Regression, Naive Bayes, SVM,
Decision Tree. We compare accuracy of various approaches and facilitate data
visualization to better understand the data set.
