Big data from mobile devices

In this chapter we will study how mobile devices facilitate big data analysis. Two types of mobile devices will be reviewed: wearable sensors and mobile phones. The former is designed with a primary focus on monitoring health conditions of individuals, while the latter are becoming the central computer and communication device in our lives. Data collected by these devices often exhibit high-volume, high-variety and high-velocity characteristics, and hence suitable methods need to be developed to extract useful information from the observed data. In this chapter, we will concentrate on the applications of wearable devices in health monitoring, and a case study in transportation where data collected from mobile devices facilitate the management of road networks.