The ubiquity of mobile phones equipped with a wide range of sensors presents interesting opportunities for data mining applications. In this report we aim to find out whether data from accelerometers and gyroscopes can be used to identify physical activities performed by subjects wearing mobile phones on their wrist.

Methods

The data used in this analysis is based on the “Human activity recognition using smartphones” data set available from the UCL Machine Learning Repository [1]. A preprocessed version was downloaded from the Data Analysis online course [2]. The set contains data derived from 3-axial linear acceleration and 3-axial angular velocity …