In recent years, Activities of Daily Living Scale (ADLs) is widely used to evaluate living
abilities of the patients and the elderly. So, the study of behavior sensing has attracted more …

The rich set of sensors in smartphones and wearable devices provides the possibility to
passively collect streams of data in the wild. The raw data streams, however, can rarely be …

The ever-increasing technological advances in embedded systems engineering, together
with the proliferation of small-size sensor design and deployment, have enabled mobile …

In modern informatics society, human beings are becoming more and more attached to the
computer. Therefore, understanding user behavior is critical to various application fields like …

Our world is increasingly interconnected via a wide variety of computers, IoT, wearable and
mobile devices. The information provided collectively through these devices offers insightful …

Smartphones have become an integral part of our daily lives, with an ever-increasing
number of users relying on mobile applications to meet their needs. This widespread usage …

Modern smartphones are powerful platforms that have become part of the everyday life for
most people. Thanks to their sensing and computing capabilities, smartphones can …

Studies related to mobile usage and mobile addiction have been explored in India.
However, survey-based approaches have been used to conduct such studies. Such …

Mobile, wearable, and ambient sensing is making possible the inference of activities and
behavioral patterns of individuals and populations. This data-driven approach to discovery …

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 …