In recent years, the demand for classification and monitoring of human activities has increased, and to satisfy such demand, this research work has come up with a system called human activity recognition using body sensor networks, this system recognizes the human activities with the body sensor networks and display the data on web application, it also maintains the data accuracy. Human activity recognition basically means recognition of the human actions on the basis of series of observations. It provides valuable information on well-being of humans, beside from that it also can keep track of human activities. Body sensor network here refers to the sensors attached to the body of the user in order to collect data which could be observed to recognize the activity. The data used to track and classify human activities is retrieved from sensors and are shown on web page with the help of cloud sever, different algorithms are studies and their comparison on the basis of accuracy and precision are also included.