Activity Detection on the Apple IOS Smartphone

Abstract

Collection of Data using smartphone sensors is an upcoming field for research. An efficient application that can monitor health by extracting data of the sensors in a smartphone would change the paradigm of health monitoring. Although this field is relatively new but the work done in this is area is very vast and diverse. Some researchers are using this data collected from smartphone sensors to detect health and fitness level of individuals. Others are using the same data to predict social behavior of the user. Many techniques are used to first classify the activity then some other machine learning algorithms are used to predict future actions. Although there are many applications in both IOS and android based smartphones that perform the similar function. But the application proposed (in this MS dissertation) would be much better as it would be developed for an academic purpose.