Call and messaging logs from mobile devices have been used to predict human personality traits successfully in re-cent years. However, the widely available accelerometer data is not yet utilized for

Call and messaging logs from mobile devices have been used to predict human personality traits successfully in re-cent years. However, the widely available accelerometer data is not yet utilized for

Call and messaging logs from mobile devices have been used to predict human personality traits successfully in re-cent years. However, the widely available accelerometer data is not yet utilized for

This paper investigates the Cyber-Physical behavior of a user in a large indoor shopping center by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the center operato

Workplace occupancy detection is becoming increasingly important in large Activity Based Work (ABW) environments as it helps building and office management understand the utilisation and potentia

Multi-activity recognition in the urban environment is a challenging task. This is largely attributed to the influence of urban dynamics, the variety of the label sets, and the heterogeneous natur

In this paper, we focus on simultaneous inference of transportation modes and human activities in daily life via modelling and inference from multivariate time series data, which are streamed from