Human Activity Recognition using Deep Learning Approach

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.