A Survey of Machine Learning Techniques For Human Activity Recognition and Their Methods and Algorithm

Human Activity Recognition (HAR) refers to the automatic detection of various physical events carried out by people in their daily life. HAR system assists in differentiating the behavior performed by person and informative feedback is offered for involvement. The main objective of activity recognition is to offer information on a user's actions for permitting the computing systems to proactively help users with their tasks. The recognition model is constructed and concentrated on different machine learning algorithm to set the feature illustration in this research work based upon the efficient of HAR. But, HAR failed to reduce the error rate during human actions identification. In order to enhance the performance of HAR, the accuracy in identifying human activities needs to be raised.