Recent industrial and academic research has focused on data-driven analytics with
smartphones by collecting user interaction, context, and device systems data through …

To better support emerging interactive mobile applications such as those VR-/AR-based,
cloud computing is quickly evolving into a new computing paradigm called edge computing …

Cloudlets are small-scale offloading units for low-latency demands, offering a unique
opportunity for emerging smart city applications such as autonomous driving or augmented …

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 …

The emerging paradigm of edge computing has proposed cloudlets to offload data and
computations from mobile, resource-constrained devices. However, little attention has been …

An in-depth understanding of human activity is essential for building personalized systems
like Google Now to support users in everyday life. For that understanding, a comprehensive …

Power consumption can make or break the success of mobile applications. This is especially
true for applications requiring constant access to sensor readings as sensors tend to …

In today's fast paced environment society is confronted with information overload, stress, or
health issues [7]. These are generally caused by accelerating technological evolution …

Multitasking and interruptions in information work make frequent activity switches necessary.
Individuals need to recall and restore earlier states of work which generally involves retrieval …

In-depth understanding of student life is essential to proactively support students in their
academic educations. However, there is no work that identifies and recognizes a sufficient …